Canny色彩边缘检测及分类新方法

为了解决传统边缘检测方法可能造成的边缘丢失、边缘定位不准、伪边缘、边缘不连续等问题,提出一种改进的Canny算子,用色彩张量表示光照准不变微分式,计算出新的图像边缘的梯度幅值,从而实现彩色图像边缘的精确提取.实验结果表明,改进的Canny检测器可以检测并分类各种色彩边缘.利用边缘检测品质因数Q改进Canny检测器的性能,并进行定量评价,结果表明,该方法降低了色彩边缘检测的误检率和错检率,有效提高了边缘检测器的性能.

A New Approach of Canny Edge Detection and Classification for Color Images

For color images,the state-of-the-art edge detection methods may result in loss of edges,imprecise edge positions,pseudo-edges or discontinuities.In order to solve these problems,an improved Canny edge detection algorithm is proposed.The algorithm combines photometric invariant differentials with color structure tensor to produce new image edge-gradient amplitudes.The canny detector based on new gradient amplitudes can detect edges of color images more precisely.Experiments demonstrate that the proposed method can well detect and classify variant color edges.The quality factor of edge detection evaluation shows that the color edge detection error rate has been reduced and the edge detection performance has been effectively improved.