KPCA-demo2

图像亮度和对比度调节，已验证，分别有亮度调节和对比度调节的调整框(Image brightness and contrast adjustment, has been verified, respectively, brightness adjustment and contrast ad)

实现巴特沃斯低通滤波器的小程序，大家看看能不能参考一下。(Butterworth low-pass filter program, see if you can refer to.)

hilbert程序实现变换 需要的朋友可以参考(hilbert transform program can refer to a friend in need)

C++和halcon结合，用于图形处理时进行三相机标定(C++ and halcon combined for three camera calibration)

用于图像拼接的素材，可用于全景图拼接。主要是JPG形式，可通过SIFT算法进行处理(Material for image stitching, can be used for panorama stitching. Mainly JPG format, can be handled by the SIFT)

说明：  数字图像处理的常用算法总结，比如，直方图，直方图均衡化，均值滤波，中值滤波，平滑滤波等。(Commonly used digital image processing algorithms summarized, for example, histogram, histogram equalization, mean filtering, median filtering, filtering and so on.)

里面有注释，还有sift和surf的比较(There are notes, there are more sift and surf the)

一个用VC编的混沌图像加密程序，演示了如何读写图像，如何用混沌算法加密解密。(a program for encrypting image by chaos algorithm,based on VC.)

改程序就代码可以找出从不同角度或区间的两幅遥感影像的同名点(Change the program code can find it from different angles of the same name point or interval of two remote sensing images)

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.)