| 结合Sobel算子的蚁群红外图像边缘检测 |
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| 引用本文： | 王栋,张径周.结合Sobel算子的蚁群红外图像边缘检测[J].河南科技大学学报(自然科学版),2011,32(6):38-41,6,7. |
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| 作者姓名： | 王栋 张径周 |
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| 作者单位： | 西北工业大学自动化学院,陕西,西安,710129 |
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| 基金项目： | 河南省重点科技攻关项目 |
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| 摘 要： | 红外图像边缘检测是红外图像处理的重要组成部分,蚁群算法应用在边缘检测方面具有良好的表现,但算法中蚂蚁初始位置的随机释放使得蚂蚁一开始会在非边缘区域耗费时间.采用Sobel边缘检测算子来引导蚁群边缘检测算法中蚂蚁初始位置的分布,使其以较高概率成为边缘的像素点作为起点对图像进行全局搜索,在对高概率区域检测的同时也将算法迭代...
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| 关 键 词： | 边缘检测 红外图像 Sobel 蚁群算法 |
Edge Detection of Infrared Image Based on Sobel and Ant Colony Algorithm |
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| WANG Dong,ZHANG Jing-Zhou.Edge Detection of Infrared Image Based on Sobel and Ant Colony Algorithm[J].Journal of Henan University of Science & Technology:Natural Science,2011,32(6):38-41,6,7. |
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| Authors: | WANG Dong ZHANG Jing-Zhou |
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| Institution: | WANG Dong,ZHANG Jing-Zhou (School of Automation,Northwestern Poly-technical University,Xi'an 710129,China) |
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| Abstract: | Edge detection is a key subject of infrared image processing.Although ant colony algorithm(ACA) has performed well in edge detection,the ant still wastes much time on non-edge district as the initial position is random set.This paper used Sobel operator to control the set of the initial position in ACA,and made the ant search the global image from those high-probability pixel.The detection of tiny edge and whole efficiency of algorithm are also improved.The results of the multiple-group experiments indicate... |
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| Keywords: | Edge detection Infrared image Sobel Ant colony |
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