1>图像处理系列之一－－读写篇 涵盖内容： 1>图像处理简介 2>常用图像文件格式说明 3>BMP图像文件读写...

包括锐化、平滑、LOG滤波器提取边缘数学形态学的腐蚀、膨胀、骨架化、开闭运算以及分形方法画树木和树叶-including sharpening, smooth, LOG filter from the brink of mathematical morphology corrosion, swelling, skeleton, and the opening and closing operation fractal approach painting trees and leaves

一个描述计算几何的相当不错的程序，写的挺好，对于初学者大有好处-a geometric description of the calculation procedure is quite good, very well written, is good for beginners

实现两幅图象融合的例子bcb4源码,适合图像处理-Realize two examples of image fusion bcb4 source, suitable for image processing

实现了图像参数的获取，中值滤波，迭代阈值分割，半阈值分割等等图像处理功能-Realize the image parameters of the acquisition, median filtering, iterative threshold segmentation, semi-threshold segmentation image processing functions, etc.

艾海舟的图像处理课件！！ 以及旋转测量器的说明和代码-Ai Haizhou image processing software! ! As well as the rotation measurement device description and code

图象降噪.rar-image noise reduction. Rar

亮度增减：对图像 的亮 度进 行增 加或减 小-Increase or decrease in brightness: the brightness of the image to increase or decrease the

非常好的 标定exe程序(特别对于初学者并可亲自做实验感受) 功能:1可以进行内外参数标定.2并有棋盘式图片可以打印,对于初学者可方便做实验.3内有拍好的相片可直接使用.4还有readme说明,不过本程序操作十分简单. 希望能对您的学习有所帮助!

用于提取图像一些的基本特征，方便进行图像分类-Used to extract some basic characteristics of images to facilitate image classification

摘　要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不 适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并, 对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的 舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。-Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2 ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2 pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3 b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s c