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Parallel Technologies with Image Processing Using Inverse Filter
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作者 Rahaf Alsharhan Areej Muheef +2 位作者 Yasmin Al Ibrahim Afnan Rayyani Yasir Alguwaifli 《Journal of Computer and Communications》 2024年第1期110-119,共10页
Real-time capabilities and computational efficiency are provided by parallel image processing utilizing OpenMP. However, race conditions can affect the accuracy and reliability of the outcomes. This paper highlights t... Real-time capabilities and computational efficiency are provided by parallel image processing utilizing OpenMP. However, race conditions can affect the accuracy and reliability of the outcomes. This paper highlights the importance of addressing race conditions in parallel image processing, specifically focusing on color inverse filtering using OpenMP. We considered three solutions to solve race conditions, each with distinct characteristics: #pragma omp atomic: Protects individual memory operations for fine-grained control. #pragma omp critical: Protects entire code blocks for exclusive access. #pragma omp parallel sections reduction: Employs a reduction clause for safe aggregation of values across threads. Our findings show that the produced images were unaffected by race condition. However, it becomes evident that solving the race conditions in the code makes it significantly faster, especially when it is executed on multiple cores. 展开更多
关键词 parallel parallelIZATION image processing Inverse Filtering OPENMP Race Conditions
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Parallel Image Processing: Taking Grayscale Conversion Using OpenMP as an Example
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作者 Bayan AlHumaidan Shahad Alghofaily +2 位作者 Maitha Al Qhahtani Sara Oudah Naya Nagy 《Journal of Computer and Communications》 2024年第2期1-10,共10页
In recent years, the widespread adoption of parallel computing, especially in multi-core processors and high-performance computing environments, ushered in a new era of efficiency and speed. This trend was particularl... In recent years, the widespread adoption of parallel computing, especially in multi-core processors and high-performance computing environments, ushered in a new era of efficiency and speed. This trend was particularly noteworthy in the field of image processing, which witnessed significant advancements. This parallel computing project explored the field of parallel image processing, with a focus on the grayscale conversion of colorful images. Our approach involved integrating OpenMP into our framework for parallelization to execute a critical image processing task: grayscale conversion. By using OpenMP, we strategically enhanced the overall performance of the conversion process by distributing the workload across multiple threads. The primary objectives of our project revolved around optimizing computation time and improving overall efficiency, particularly in the task of grayscale conversion of colorful images. Utilizing OpenMP for concurrent processing across multiple cores significantly reduced execution times through the effective distribution of tasks among these cores. The speedup values for various image sizes highlighted the efficacy of parallel processing, especially for large images. However, a detailed examination revealed a potential decline in parallelization efficiency with an increasing number of cores. This underscored the importance of a carefully optimized parallelization strategy, considering factors like load balancing and minimizing communication overhead. Despite challenges, the overall scalability and efficiency achieved with parallel image processing underscored OpenMP’s effectiveness in accelerating image manipulation tasks. 展开更多
关键词 parallel Computing image processing OPENMP parallel Programming High Performance Computing GPU (Graphic processing Unit)
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RESEARCH ON SATELLITE IMAGE PROCESSING AND RECOGNITION WITH PARALLEL ALGORITHM 被引量:1
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作者 刘正光 郭爱民 +1 位作者 程彦 刘勇 《Transactions of Tianjin University》 EI CAS 1999年第2期73-77,共5页
Using the method of mathematical morphology,this paper fulfills filtration,segmentation and extraction of morphological features of the satellite cloud image.It also gives out the relative algorithms,which is realized... Using the method of mathematical morphology,this paper fulfills filtration,segmentation and extraction of morphological features of the satellite cloud image.It also gives out the relative algorithms,which is realized by parallel C programming based on Transputer networks.It has been successfully used to process the typhoon and the low tornado cloud image.And it will be used in weather forecast. 展开更多
关键词 satellite cloud image extraction of morphological features mathematical morphology parallel processing
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Improved Strategies for Parallel Medical Image Processing Applications
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作者 WANG Kiln WANG Xiao-ying +1 位作者 LI San-li CHEN Ying 《Chinese Journal of Biomedical Engineering(English Edition)》 2008年第1期8-17,共10页
In order to meet the demands of high efficient and real-time computer assisted diagnosis as well as screening in medical area, to improve the efficacy of parallel medical image processing is of great importance. This ... In order to meet the demands of high efficient and real-time computer assisted diagnosis as well as screening in medical area, to improve the efficacy of parallel medical image processing is of great importance. This article proposes improved strategies for parallel medical image processing applications,which is categorized into two genera. For each genus individual strategy is devised, including the theoretic algorithm for minimizing the exertion time. Experiment using mammograms not only justifies the validity of the theoretic analysis, with reasonable difference between the theoretic and measured value, but also shows that when adopting the improved strategies, efficacy of medical image parallel processing is improved greatly. 展开更多
关键词 image processing parallel processing medical image
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Application of PCA Numalgorithm in Remote Sensing Image Processing
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作者 Hong Dai 《Modern Electronic Technology》 2023年第1期17-21,共5页
A numerical algorithm of principal component analysis (PCA) is proposed and its application in remote sensing image processing is introduced: (1) Multispectral image compression;(2) Multi-spectral image noise cancella... A numerical algorithm of principal component analysis (PCA) is proposed and its application in remote sensing image processing is introduced: (1) Multispectral image compression;(2) Multi-spectral image noise cancellation;(3) Information fusion of multi-spectral images and spot panchromatic images. The software experiments verify and evaluate the effectiveness and accuracy of the proposed algorithm. 展开更多
关键词 PCA numerical algorithm Remote sensing image processing Multi-spectral image
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New multi-DSP parallel computing architecture for real-time image processing 被引量:4
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作者 Hu Junhong Zhang Tianxu Jiang Haoyang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2006年第4期883-889,共7页
The flexibility of traditional image processing system is limited because those system are designed for specific applications. In this paper, a new TMS320C64x-based multi-DSP parallel computing architecture is present... The flexibility of traditional image processing system is limited because those system are designed for specific applications. In this paper, a new TMS320C64x-based multi-DSP parallel computing architecture is presented. It has many promising characteristics such as powerful computing capability, broad I/O bandwidth, topology flexibility, and expansibility. The parallel system performance is evaluated by practical experiment. 展开更多
关键词 parallel computing image processing REAL-TIME computer architecture
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Parallel Image Processing Technology of Surface Detection System 被引量:2
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作者 LI Chang-le CHENG Wan-sheng FAN Ji-zhuang ZHAO Jie 《Semiconductor Photonics and Technology》 CAS 2008年第4期217-223,243,共8页
To improve image processing speed and detection precision of a surface detection system on a strip surface,based on the analysis of the characteristics of image data and image processing in detection system on the str... To improve image processing speed and detection precision of a surface detection system on a strip surface,based on the analysis of the characteristics of image data and image processing in detection system on the strip surface,the design of parallel image processing system and the methods of algorithm implementation have been studied. By using field programmable gate array(FPGA) as hardware platform of implementation and considering the characteristic of detection system on the strip surface,a parallel image processing system implemented by using multi IP kernel is designed. According to different computing tasks and the load balancing capability of parallel processing system,the system could set different calculating numbers of nodes to meet the system's demand and save the hardware cost. 展开更多
关键词 parallel image processing parallel algorithm surface defect FPGA multi IP core
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Image processing of weld pool and keyhole in Nd:YAG laser welding of stainless steel based on visual sensing 被引量:3
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作者 高进强 秦国梁 +3 位作者 杨家林 何建国 张涛 武传松 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2011年第2期423-428,共6页
In order to obtain good welding quality, it is necessary to apply quality control because there are many influencing factors in laser welding process. The key to realize welding quality control is to obtain the qualit... In order to obtain good welding quality, it is necessary to apply quality control because there are many influencing factors in laser welding process. The key to realize welding quality control is to obtain the quality information. Abundant weld quality information is contained in weld pool and keyhole. Aiming at Nd:YAG laser welding of stainless steel, a coaxial visual sensing system was constructed. The images of weld pool and keyhole were obtained. Based on the gray character of weld pool and keyhole in images, an image processing algorithm was designed. The search start point and search criteria of weld pool and keyhole edge were determined respectively. 展开更多
关键词 laser welding KEYHOLE weld pool EDGE image processing algorithm
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Application of TMS320C80 in Image Processing
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作者 邓峰 戴擎宇 +2 位作者 杨占昕 何佩琨 毛二可 《Journal of Beijing Institute of Technology》 EI CAS 2000年第2期189-194,共6页
To study the application of TMS320C80 in image processing, an image processing system was designed based on this device, and the task of real time image processing was well accomplished on the hardware platform. TMS3... To study the application of TMS320C80 in image processing, an image processing system was designed based on this device, and the task of real time image processing was well accomplished on the hardware platform. TMS320C80 architecture's high degree of on chip integration and software flexibility will make it widely used in image processing that requires high processing speeds. 展开更多
关键词 TMS320C80 REAL-TIME image processing parallel processing
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An Algorithm for Ship Wake Detection from the SAR Images Using the Radon Transform and Morphological Image Processing 被引量:2
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作者 金亚秋 王世庆 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2001年第4期7-12,共6页
Using the Radon transform and morphological image processing, an algorithm for ship's wake detection in the SAR (synthetic aperture radar) image is developed. Being manipulated in the Radon space to invert the gra... Using the Radon transform and morphological image processing, an algorithm for ship's wake detection in the SAR (synthetic aperture radar) image is developed. Being manipulated in the Radon space to invert the gray-level and binary images, the linear texture of ship wake in oceanic clutter can be well detected. It has been applied to the automatic detection of a moving ship from the SEASAT SAR image. The results show that this algorithm is well robust in a strong noisy background and is not very sensitive to the threshold parameter and the working window size. 展开更多
关键词 algorithms image processing Mathematical transformations Radar clutter Radar target recognition Spurious signal noise Synthetic aperture radar
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Image Processing Technology of Flaws within Infrared Transmitting Glasses 被引量:2
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作者 钟忺 YUAN Jingling +2 位作者 陶海征 LIU Yonghua ZU Chengkui 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2012年第6期1180-1183,共4页
We investigated image processing algorithms of the original infrared glass flaw image. Using the Laplacian edge enhancement following LSD (Line Segment Detector) algorithm, we can get a good flaw image very consiste... We investigated image processing algorithms of the original infrared glass flaw image. Using the Laplacian edge enhancement following LSD (Line Segment Detector) algorithm, we can get a good flaw image very consistent with the original one. This study is very helpful to further enhance the infrared glass flaw inspection technique. 展开更多
关键词 infrared transmitting materials image processing algorithms flaw image
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Improvement Detecting Method of Optical Axes Parallelism of Shipboard Photoelectrical Theodolite Based on Image Processing 被引量:3
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作者 Huihui Zou 《Optics and Photonics Journal》 2017年第8期127-133,共7页
An improvement detecting method was proposed according to the disadvantages of testing method of optical axes parallelism of shipboard photoelectrical theodolite (short for theodolite) based on image processing. Point... An improvement detecting method was proposed according to the disadvantages of testing method of optical axes parallelism of shipboard photoelectrical theodolite (short for theodolite) based on image processing. Pointolite replaced 0.2'' collimator to reduce the errors of crosshair images processing and improve the quality of image. What’s more, the high quality images could help to optimize the image processing method and the testing accuracy. The errors between the trial results interpreted by software and the results tested in dock were less than 10'', which indicated the improve method had some actual application values. 展开更多
关键词 IMPROVEMENT Detecting Method SHIPBOARD Photoelectrical THEODOLITE OPTICAL Axes parallelISM image processing
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APPLICATION OF MVP IN REAL TIME IMAGE PROCESSING
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作者 戴擎宇 杨占昕 何佩琨 《Chinese Journal of Aeronautics》 SCIE EI CSCD 2000年第1期30-33,共4页
MVP is a digital signal processor, which is of MIMD structure and fit for multimedia application. MVP has several processors in it, and its operation is characteristic of parallelism and pipeline; therefore, real-time... MVP is a digital signal processor, which is of MIMD structure and fit for multimedia application. MVP has several processors in it, and its operation is characteristic of parallelism and pipeline; therefore, real-time signal processing can be done on it. This paper presents the image processing system based on MVP, explains the principles of parallel task assignment and hardware pipeline design, and gives out the example of target tracking and edge detection. 展开更多
关键词 Computer hardware Edge detection image processing MIM devices Multimedia systems parallel processing systems Random access storage
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Parallel Processing Based on Ship Maneuvering in Identification of Interaction Force Coefficients 被引量:2
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作者 刘小健 黄国樑 邓德衡 《Journal of Shanghai Jiaotong university(Science)》 EI 2008年第3期352-356,共5页
The parallel processing based on the free running model test was adopted to predict the interaction force coefficients (flow straightening coefficient and wake fraction) of ship maneuvering. And the multipopulation ... The parallel processing based on the free running model test was adopted to predict the interaction force coefficients (flow straightening coefficient and wake fraction) of ship maneuvering. And the multipopulation genetic algorithm (MPGA) based on real coding that can contemporarily process the data of free running model and simulation of ship maneuvering was applied to solve the problem. Accordingly the optimal individual was obtained using the method of genetic algorithm. The parallel processing of multiopulation solved the prematurity in the identification for single population, meanwhile, the parallel processing of the data of ship maneuvering (turning motion and zigzag motion) is an attempt to solve the coefficient drift problem. In order to validate the method, the interaction force coefficients were verified by the procedure and these coefficients measured were compared with those ones identified. The maximum error is less than 5%, and the identification is an effective method. 展开更多
关键词 interaction force coefficient multi-population genetic algorithm (MPGA) parallel processing parameter identification
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REALIZATION OF QUICK-LOOK IMAGING FOR SPACEBORNE SAR BASED ON PARALLEL PROCESSING 被引量:1
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作者 TangZhi ZhouYinqing LiJingwen 《Journal of Electronics(China)》 2004年第2期152-158,共7页
Large range cell migration is a severe challenge to imaging algorithm for spaceborne SAR. Based on design of Finite Impulse Response (FIR) filter and Range Doppler (RD) algorithm, a realization of quick-look imaging f... Large range cell migration is a severe challenge to imaging algorithm for spaceborne SAR. Based on design of Finite Impulse Response (FIR) filter and Range Doppler (RD) algorithm, a realization of quick-look imaging for large range cell migration is proposed. It realized quick-look imaging of 8 times reduced resolution with parallel processing on memory shared 8 CPU SGI server. According to simulation experiment, this quick-look imaging algorithm with parallel processing can image 16384x16384 SAR raw data within 6 seconds. It reaches the requirement of real-time imaging. 展开更多
关键词 Space borne SAR Quick-look imaging Range cell migration parallel processing
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Biomedical Image Processing Using FCM Algorithm Based on the Wavelet Transform
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作者 闫玉华 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2004年第3期18-20,共3页
An effective processing method for biomedical images and the Fuzzy C-mean (FCM) algorithm based on the wavelet transform are investigated.By using hierarchical wavelet decomposition, an original image could be decompo... An effective processing method for biomedical images and the Fuzzy C-mean (FCM) algorithm based on the wavelet transform are investigated.By using hierarchical wavelet decomposition, an original image could be decomposed into one lower image and several detail images. The segmentation started at the lowest resolution with the FCM clustering algorithm and the texture feature extracted from various sub-bands. With the improvement of the FCM algorithm, FCM alternation frequency was decreased and the accuracy of segmentation was advanced. 展开更多
关键词 biomedical image processing FCM algorithm wavelet transform texture feature
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High performance reconfigurable hardware system for real-time image processing
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作者 赵广州 张天序 +2 位作者 王岳环 曹治国 左峥嵘 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2005年第3期502-509,共8页
A novel reconfigurable hardware system which uses both muhi-DSP and FPGA to attain high performance and real-time image processing are presented. The system structure and working principle of mainly processing multi-B... A novel reconfigurable hardware system which uses both muhi-DSP and FPGA to attain high performance and real-time image processing are presented. The system structure and working principle of mainly processing multi-BSP board, extended multi-DSP board are analysed. The outstanding advantage is that the communication among different board components of this system is supported by high speed link ports & serial ports for increasing the system performance and computational power. Then the implementation of embedded real-time operating systems (RTOS) by us is discussed in detail. In this system, we adopt two kinds of parallel structures controlled by RTOS for parallel processing of algorithms. The experimental results show that exploitive period of the system is short, and maintenance convenient. Thus it is suitable for real-time image processing and can get satisfactory effect of image recognition. 展开更多
关键词 MULTI-DSP fidd programmable gate arrays real-time image processing real time operating systems parallel structure.
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Image processing of weld pool and keyhole in Nd:YAG laser welding based on edge predicting
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作者 高进强 秦国梁 +3 位作者 杨家林 何建国 张涛 武传松 《China Welding》 EI CAS 2011年第3期67-70,共4页
Laser welding is one of high efficiency, high energy density welding methods. Quality control should be applied to ensure good welding quality. Weld pool and keyhole contains abundant information of welding quality. G... Laser welding is one of high efficiency, high energy density welding methods. Quality control should be applied to ensure good welding quality. Weld pool and keyhole contains abundant information of welding quality. Good image processing algorithm is necessary in quality control system based on visual sensing. Aiming at the image captured by a coaxial visual sensing system for laser welding, an image processing algorithm is designed. An edge predicting method is proposed in image processing algorithm which is based on the fact that the local shape of weld pool can be fitted to a circle. The results show that the algorithm works well. It lays solid foundation for further quality control in laser welding. 展开更多
关键词 laser welding weld pool EDGE image processing algorithm edge predicting
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Automated Angle Detection for Industrial Production Lines Using Combined Image Processing Techniques
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作者 Pawat Chunhachatrachai Chyi-Yeu Lin 《Intelligent Automation & Soft Computing》 2024年第4期599-618,共20页
Angle detection is a crucial aspect of industrial automation,ensuring precise alignment and orientation ofcomponents in manufacturing processes.Despite the widespread application of computer vision in industrialsettin... Angle detection is a crucial aspect of industrial automation,ensuring precise alignment and orientation ofcomponents in manufacturing processes.Despite the widespread application of computer vision in industrialsettings,angle detection remains an underexplored domain,with limited integration into production lines.Thispaper addresses the need for automated angle detection in industrial environments by presenting a methodologythat eliminates training time and higher computation cost on Graphics Processing Unit(GPU)from machinelearning in computer vision(e.g.,Convolutional Neural Networks(CNN)).Our approach leverages advanced imageprocessing techniques and a strategic combination of algorithms,including contour selection,circle regression,polar warp transformation,and outlier detection,to provide an adaptive solution for angle detection.By configuringthe algorithm with a diverse dataset and evaluating its performance across various objects,we demonstrate itsefficacy in achieving reliable results,with an average error of only 0.5 degrees.Notably,this error margin is 3.274times lower than the acceptable threshold.Our study highlights the importance of accurate angle detection inindustrial settings and showcases the reliability of our algorithm in accurately determining angles,thus contributingto improved manufacturing processes. 展开更多
关键词 Angle detection image processing algorithm computer vision machine vision industrial automation
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Image boundary extraction based on island model genetic algorithms for integrated circuit defect detection 被引量:1
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作者 PAN Zhong-liang CHEN Ling 《重庆邮电大学学报(自然科学版)》 北大核心 2009年第2期207-211,共5页
The integrated circuit chip with high performance has a high sensitivity to the defects in manufacturing environments.When there are defects on a wafer,the defects may lead to the degradation of chip performance.It is... The integrated circuit chip with high performance has a high sensitivity to the defects in manufacturing environments.When there are defects on a wafer,the defects may lead to the degradation of chip performance.It is necessary to design effective detection approaches for the defects in order to ensure the reliability of wafer.In this paper,a new method based on image boundary extraction is presented for the detection of defects on a wafer.The method uses island model genetic algorithms to perform the segmentation of wafer images,and gets the optimal threshold values.The island model genetic algorithm uses two distinct subpopulations,it is a coarse grain parallel model.The individuals migration can occur between the two subpopulations to share genetic materials.A lot of experimental results show that the defect detection method proposed in this paper can obtain the features of defects effectively. 展开更多
关键词 集成电路芯片 缺陷检测 遗传算法 岛屿模型 边界提取 基于图像 基础 芯片性能
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