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说明：  图像形态学处理，图像腐蚀，图像膨胀，图像细化，边缘检测(Morphological image processing, image corrosion, image expansion, image thinning, edge detection)

说明：  用C语言实现图像的平滑，锐化及双线性内插算法的实现，效果很好(Using C language to achieve image smoothing, sharpening and bilinear interpolation algorithm to achieve good results)

图形图像正交变换，离散余弦变换，VC++实现。(Graphic image orthogonal transform, discrete cosine transform, VC++ to achieve.)

利用大津算法对图片进行处理，得到满意的处理效果。(The image is processed by Otsu algorithm and satisfactory results are obtained.)

索贝尔算子程序，可以对图像进行索贝尔算子处理。(Sobel process program, which can process using sobel method.)

基于小波和形态学的自然地面背景红外目标检测方法。。。。。。(Based on wavelet and morphology of the natural terrestrial background infrared target detection method)

HOG adaboost pedestrian-detect

数字图像处理源代码绝对好用包括一些最基本了图像处理，例如增强(digital processing)

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.)

基于meanshift/camshift的视频运动目标跟踪实现，通过鼠标手动选择跟踪目标。基于HSV空间模型，可手动调节H S V的阈值，显示前景、背景、反响投影图。开发工具是VS2008、OPENCV.(Based meanshift/camshift video moving target tracking achieved manually using the mouse to select the target track. HSV space model, you can manually adjust the threshold HSV, showing foreground, background, reaction projection. Development tools are VS2008, OPENCV)