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Fuzzy Enhancement Based on Transition Zone Edge Detection Algorithm for SAR Image

机译:基于过渡区边缘检测算法的SAR图像模糊增强

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Considering small edges, spurious edges and other problems of edge detection on SAR images, an improved edge detection algorithm based on fuzzy enhancement of transition region is proposed. In this paper, the defects of the classical fuzzy enhancement algorithm is analyzed, and by researching on the characters of target and background image, the concept of the transition zone is introduced into the image enhancement field, and then an improved edge detection algorithm is proposed based on this. The experimental results show that this algorithm can overcome the shortcomings caused by the inappropriate choice of crossover point, extract greater information of the targets' edges and move some redundancy information of small edges effectively. It is applicable to the SAR images with abundant topic targets.
机译:针对SAR图像边缘小,伪边缘等边缘检测问题,提出了一种基于过渡区域模糊增强的边缘检测算法。本文分析了经典模糊增强算法的缺陷,通过研究目标图像和背景图像的特点,将过渡区的概念引入了图像增强领域,提出了一种改进的边缘检测算法。基于此。实验结果表明,该算法可以克服交叉点选择不当造成的缺点,有效地提取了目标边缘更多的信息,并有效地移动了小边缘的一些冗余信息。适用于主题目标丰富的SAR图像。

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