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模式识别的Sobel和Kirsch边缘检测程序(Sobel and Kirsch edge detection algorithm of Pattern recognition)

本程序包括图像的几何变换、图像的灰度变换、图像的空域增强、图像的频域增强、图像的形态学处理、图像的分割和区域增长、还有图像的数字识别等一系列有关图像的基本操作和处理。(This procedure including the image geometric transform, the image gradation transformation, the image air zone strengthens, the image frequency range to strengthen, image morphology processing, the image division and the region grows, also has the image digital recognition and so on a series of related image elementary operation eo and processing. )

雷达成像Dechirp 脉冲压缩代码 ，感兴趣的可以看看。(Radar the imaging Dechirp pulse compression code, and can see the interest.)

gdal读tiff图像,获取图像大小，波段信息，图像数据，写Tiff图像到固定路径。(Read and write an TIff image using GDAL)

AutoCAD二次开发的图像处理代码,对彩色图像进行区域生长,然后提取边界,实现图像分割.(AutoCAD second development of image processing code, color images of regional growth, and then extract the boundary, realize image segmentation.)

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 crack.)

匹配算法，可以完美运行，对于初学者有着很好的参考价值(Matching algorithm, can be a perfect run, has a very good reference for beginners)

（2001何斌+光盘）Visual c++数字图像处理（第二版），使用VC进行数字图像处理的相关资料，十分实用！((2001 Bin+ disc the) Visual c++ digital image processing (second edition), digital image processing using VC, very practical!)

双目视觉经验总结，希望后面的不要犯错误。(Binocular visual experience summary, make no mistake behind.)

介绍混合像元解混里面的端元提取算法N-FINDR(Describes the mixed pixel unmixing inside endmember extraction algorithm N-FINDR)