期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
Identifying Severity of COVID-19 Medical Images by Categorizing Using HSDC Model
1
作者 K.Ravishankar C.Jothikumar 《Computer Systems Science & Engineering》 SCIE EI 2023年第10期613-635,共23页
Since COVID-19 infections are increasing all over the world,there is a need for developing solutions for its early and accurate diagnosis is a must.Detectionmethods for COVID-19 include screeningmethods like Chest X-r... Since COVID-19 infections are increasing all over the world,there is a need for developing solutions for its early and accurate diagnosis is a must.Detectionmethods for COVID-19 include screeningmethods like Chest X-rays and Computed Tomography(CT)scans.More work must be done on preprocessing the datasets,such as eliminating the diaphragm portions,enhancing the image intensity,and minimizing noise.In addition to the detection of COVID-19,the severity of the infection needs to be estimated.The HSDC model is proposed to solve these problems,which will detect and classify the severity of COVID-19 from X-ray and CT-scan images.For CT-scan images,the histogram threshold of the input image is adaptively determined using the ICH Swarm Optimization Segmentation(ICHSeg)algorithm.Based on the Statistical and Shape-based feature vectors(FVs),the extracted regions are classified using a Hybrid model for CT images(HSDCCT)algorithm.When the infections are detected,it’s classified as Normal,Moderate,and Severe.A fused FHI is formed for X-ray images by extracting the features of Histogram-oriented gradient(HOG)and Image profile(IP).The FHI features of X-ray images are classified using Hybrid Support Vector Machine(SVM)and Deep Convolutional Neural Network(DCNN)HSDCX algorithm into COVID-19 or else Pneumonia,or Normal.Experimental results have shown that the accuracy of the HSDC model attains the highest of 94.6 for CT-scan images and 95.6 for X-ray images when compared to SVM and DCNN.This study thus significantly helps medical professionals and doctors diagnose COVID-19 infections quickly,which is the most needed in current years. 展开更多
关键词 CT-SCAN convolution neural network(CNN) deep CNN(HSDC) hybrid support vector machine(SVM) improved chicken swarmoptimization(ICHO) COVID-19 and image profile(IP)
下载PDF
ESR Projection Profile Imaging
2
作者 Shen Erzhong (Institute of Theoretical Chemistry, Jilin University, Changchun)Zheng Yingguang (Analytical Measurement Center of Jilin University, Changchun) 《Chemical Research in Chinese Universities》 SCIE CAS CSCD 1991年第4期221-226,共6页
In the present paper we report an ESR imaging algorithm and program based on the projection profile technique, by which the stereograrns and their cross-sectional contour maps of sample spin density can be plotted. As... In the present paper we report an ESR imaging algorithm and program based on the projection profile technique, by which the stereograrns and their cross-sectional contour maps of sample spin density can be plotted. As an example, we give some figures in order to demonstrate the applicability and reliability of the program. Keywords ESR imaging, Projection profile principle, Sampling process, Smooth surface, Function reconstruction, Stereogram 展开更多
关键词 ESR Projection profile Imaging MAPS
下载PDF
Minimizing the effects of unmodulated light and uneven intensity profile on the holographic images reconstructed by pixelated spatial light modulators
3
作者 陈政锡 贾甲 初大平 《Chinese Optics Letters》 SCIE EI CAS CSCD 2017年第10期42-45,共4页
A simple and effective approach is proposed to minimize the effect of unmodulated light and uneven intensity caused by the pixelated structure of the spatial light modulator in a holographic display. A more uniform im... A simple and effective approach is proposed to minimize the effect of unmodulated light and uneven intensity caused by the pixelated structure of the spatial light modulator in a holographic display. A more uniform image is produced by purposely shifting the holographic images of multiple reconstructed lights with different incident angles from the zero-diffraction-order and overlapping those selected different orders. The simulation and optical experimental results show that the influence of the zero-diffraction-order can be reduced, while keeping the good uniformity of the target images by this new approach. 展开更多
关键词 Minimizing the effects of unmodulated light and uneven intensity profile on the holographic images reconstructed by pixelated spatial light modulators
原文传递
Particle image velocimetry measurement of velocity distribution at inlet duct of waterjet self-propelled ship model 被引量:1
4
作者 龚杰 郭春雨 +1 位作者 吴铁成 赵大刚 《Journal of Hydrodynamics》 SCIE EI CSCD 2017年第5期879-893,共15页
A vehicle-mounted three-dimensional underwater particle image velocimetry(PIV) device is used in a towing tank to measure the velocity distribution of the inlet duct of a waterjet ship model in a self-propulsion tes... A vehicle-mounted three-dimensional underwater particle image velocimetry(PIV) device is used in a towing tank to measure the velocity distribution of the inlet duct of a waterjet ship model in a self-propulsion test. The following points are shown through a comparison of the influences of the stationary and free states of the ship model on the measured results:(1) during the test, the ship attitude will change, specifically, the ship model will heave and trim,(2) the degree of freedom disturbs the processing of the pixel images enough to distort the subsequent image processing,(3) the stationary state of the ship model is the optimal mode for measuring the velocity distribution using the PIV device, and(4) if the changes must be considered, the man-made heaving and trimming may be pre-applied, and be made a corrected stationary mode. In addition, the momentum effect coefficient and the energy effect coefficient are calculated in a non-uniform inflowing state, and the related factors affecting the two coefficients are analyzed. The test results show that the pumping action of the waterjet creates a transverse vector in the cross-sectional speed, which increases the non-uniformity of the inflow. These results could help to establish the design requirements for a waterjet-propelled ship type. 展开更多
关键词 Particle image velocimetry(PIV) velocity distribution profile degree of freedom transverse vector
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部