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出 处:《电子科学学刊》1999年第5期634-639,共6页
基 金:国家自然科学基金(编号69772041);高校博士学科点基金(编号98005610)
摘 要:本文提出了一种新的边缘检测器的客观评价方法。该方法既能反映边缘检测器对图像轮廓的检测性能,又能对图像细节处的边缘检测能力进行正确的评价。由于该方法将整个测试图区分成三个不同性质的区域,不同的区域用不同的参数来反映边缘检测器的不同性能。因此,能准确反映噪声对边缘检测器的影响。同时,它将整个边缘检测器的性能分解成边缘提取能力和噪声抑制能力两部分,便于我们全面、准确和客观地评价不同特性的边缘检测器,以适应不同应用场合的需要。This paper presents a new method to evaluate edge detectors objectively and quantitatively. This method is capable of showing correctly the performance of detecting the contour of images, as well as of detecting the fine details of images. The effects of noises on edge detectors can be accurately reported by partitioning the whole test image into three areas having different characteristics and then, at different areas, using different parameters to match the different performance of edge detectors. At the same time, the whole performance of edge detectors is divided into two parts: the edge-extracting ability and the noise-attenuating ability. So, the edge detectors, having different characteristics, can be evaluated comprehensively, accurately and objectively, and be applied to different cases.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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