关于图像方向性边缘检测算法的研究

The Algorithm of Image Directivity Edge Detection

该文基于模糊分类和像素方向性提出对图像边缘进行二次确定,同时参数控制去噪及锐化真正边缘。该算法计算量小,边缘明显变细,噪声和伪边缘减少,对边缘细微图像检测效果理想。

Bases on the fuzzy classifier theory and image element directivity, the image directivity edge detection determination runs as two steps to make certain the true edges according to the direction of the pixel, and at the same time implements the self-acting image pretreatment to remove noises and sharpening the true edge. The algorithm detects the thinner edge with little computation, and produces little noises and fake edges. It is rather effective for images with hairline edges.