matlab in image processing applications, including blur, sharpening, image enhan...

Gaussian transform for image

本代码依据提升小波原理自己编写，供大家参考，其中的正反变换大家能清楚看到了-the code based on wavelet theory enhance their preparation for your reference, the pros and transform you can clearly see the

android的内核分析的文章，一个相当不错的文档！希望能对大家有所帮助！-android kernel analysis of articles, a pretty good document! Hope you can help!

gui界面设计，进行图像的一般处理，如旋转，加噪，直方图均衡化等-gui interface design, the general image processing, such as rotation, noise, such as histogram equalization

Muilt-view Camera Calibration Code base on Matlab-Muilt-view Camera Calibration Code base o n Matlab

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

多边形游戏-polygon game

一个图像修复的程序，可以去掉图像中得目标，处理前将需处理得目标涂成红色，执行程序即可。-An image restoration procedure, you can remove the image in a goal, will be required to deal with before the deal was the target painted red, the implementation of procedures.

矢量量化的C语言实现，模式识别经典问题解决-Vector quantization of the C language, pattern recognition classic problem-solving

在panel控件中载入图像,然后对图像进行去噪的处理,-Loading in the control panel image, and then to deal with image denoising,