本文主要讨论获得图片后如何提取其边界信息，首先利用图像灰度均匀化解决了对比度不清晰的问题，然后利用高斯滤波法对图片进行滤波去噪，进而利用Canny算法实现边缘检测提取边界，该方法与Matlab自带的求边界方法有明显的提高，为利用Matlab程序求图像分形维数提供了更精确的前提。-This article focuses on how to get the image to extract the boundary information, the first to use to the gray

边缘检测和细化，所用的图像是lena的头像。效果非常不错，已经尝试了近200张图片。-Edge detection and refinement, the the image lena avatar. The effect is very good, has tried nearly 200 pictures.

本程序用于检测图像中最大连通区域。通过对小波或其他边缘检测的结果进行适当处理，较为准确得出原图片中的最大连通区域。可用于显著性检测以及区域分割等。实现平台为C++&opencv-This procedure is used to detect the image of the largest regional connectivity. Through the wavelet edge detection results or other appropriate treatment, more

hough 以及边缘检测，这里面包括了源代码以及更好的图片示例，值得学习-hough and edge detection, which involves the source code and a better image for example, is worth learning