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基于图像处理的木粉目数检测与分析 被引量:2
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作者 任洪娥 刘冕 +1 位作者 沈雯雯 姜士辉 《林业机械与木工设备》 2014年第6期41-44,共4页
为了解决生产中木粉目数传统检测方法存在的问题,结合先进的数字图像处理技术,在分析木粉颗粒形态特征的基础上,提出了一种基于形态学边缘检测和最大Feret直径的目数检测方法。该方法首先进行图像HIS颜色空间转换,基于S分量进行目标提取... 为了解决生产中木粉目数传统检测方法存在的问题,结合先进的数字图像处理技术,在分析木粉颗粒形态特征的基础上,提出了一种基于形态学边缘检测和最大Feret直径的目数检测方法。该方法首先进行图像HIS颜色空间转换,基于S分量进行目标提取,应用多尺度形态学边缘检测算子提取边缘,然后根据颗粒形态特征只保留Feret最大方向上的直径,最后通过单位换算实现目数检测。实验结果表明,该方法具有较高的检测精度,可在生产中推广应用。 展开更多
关键词 木粉 形态特征 目数检测 Feret直径
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Research on fast detection method of infrared small targets under resourceconstrained conditions
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作者 ZHANG Rui LIU Min LI Zheng 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2024年第4期582-587,共6页
Infrared small target detection is a common task in infrared image processing.Under limited computa⁃tional resources.Traditional methods for infrared small target detection face a trade-off between the detection rate ... Infrared small target detection is a common task in infrared image processing.Under limited computa⁃tional resources.Traditional methods for infrared small target detection face a trade-off between the detection rate and the accuracy.A fast infrared small target detection method tailored for resource-constrained conditions is pro⁃posed for the YOLOv5s model.This method introduces an additional small target detection head and replaces the original Intersection over Union(IoU)metric with Normalized Wasserstein Distance(NWD),while considering both the detection accuracy and the detection speed of infrared small targets.Experimental results demonstrate that the proposed algorithm achieves a maximum effective detection speed of 95 FPS on a 15 W TPU,while reach⁃ing a maximum effective detection accuracy of 91.9 AP@0.5,effectively improving the efficiency of infrared small target detection under resource-constrained conditions. 展开更多
关键词 infrared UAV image fast small object detection low impedance loss function
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Integrated Method of Recognizing Huge Target
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作者 王文会 《Journal of Beijing Institute of Technology》 EI CAS 2001年第4期423-428,共6页
An integrated novel method of recognizing huge target is described that combines some relatively mature image processing techniques such as edge detection, thresholding, morphology, image segmentation and so forth. Af... An integrated novel method of recognizing huge target is described that combines some relatively mature image processing techniques such as edge detection, thresholding, morphology, image segmentation and so forth. After thresholding the edge image obtained by using Sobel operator, erosion is firstly used to reduce noise and extrusive pixels; then dilation is used to expand some separated pixels into various regions, after that the image segmentation technique is utilized to distinguish the target region with a criterion. The location of the target is also offered. Each technique adopted herein seems not complicated at all, the experimental results demonstrate the efficiency of the combination of these techniques. It is its high computational speed and remarkable robustness resulting from its simplicity that make the method promise to be applied in practical problems requiring real time processing. 展开更多
关键词 object recognition edge detection MORPHOLOGY image segmentation direction detection
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A Mo LC+Mo M-based G^0 distribution parameter estimation method with application to synthetic aperture radar target detection
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作者 朱正为 周建江 郭玉英 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第6期2207-2217,共11页
The accuracy of background clutter model is a key factor which determines the performance of a constant false alarm rate(CFAR) target detection method. G0 distribution is one of the optimal statistic models in the syn... The accuracy of background clutter model is a key factor which determines the performance of a constant false alarm rate(CFAR) target detection method. G0 distribution is one of the optimal statistic models in the synthetic aperture radar(SAR) image background clutter modeling and can accurately model various complex background clutters in the SAR images. But the application of the distribution is greatly limited by its disadvantages that the parameter estimation is complex and the local detection threshold is difficult to be obtained. In order to solve the above-mentioned problems, an synthetic aperture radar CFAR target detection method using the logarithmic cumulant(Mo LC) + method of moment(Mo M)-based G0 distribution clutter model is proposed. In the method, G0 distribution is used for modeling the background clutters, a new Mo LC+Mo M-based parameter estimation method coupled with a fast iterative algorithm is used for estimating the parameters of G0 distribution and an exquisite dichotomy method is used for obtaining the local detection threshold of CFAR detection, which greatly improves the computational efficiency, detection performance and environmental adaptability of CFAR detection. Experimental results show that the proposed SAR CFAR target detection method has good target detection performance in various complex background clutter environments. 展开更多
关键词 synthetic aperture radar (SAR) target detection statistical modeling parameter estimation method of logarithmic cumulant (MoLC)
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Analysis on Mathematics Teaching Goal Design Technology and Its Detection
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作者 Yong Huang Xingcong Mao 《International Journal of Technology Management》 2013年第8期65-67,共3页
Teaching goal design is an important link of teaching design, which has the teaching, learning and measurement function. How to establish the appropriate teaching goal and properly state to enhance its guidance and de... Teaching goal design is an important link of teaching design, which has the teaching, learning and measurement function. How to establish the appropriate teaching goal and properly state to enhance its guidance and detection function are the important tasks of teaching design. This paper makes a programming and systematic analysis on the aspects of teaching goal design theory, teaching goal statement mode and technology, teaching goal statement and design and teaching goal design detection. 展开更多
关键词 teaching goal design guidance and detection statement technology
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