image_carrying_code

数字图像处理有关于图像去雾的新型算法与实现(There are new digital image processing algorithms on the image to go to the fog and Implementation)

kinect扫描到的人体分离出来，并以二值图显示，且可以保存在本地，丰富的注释帮助理解(kinect body scan to be separated, and binary image display and can be saved locally, rich annotation to help understand)

利用VC进行图像的频域滤波处理，内含源代码(VC image using the frequency domain filtering treatment, including source code)

Matlab time-frequency analysis supporting the source code of chapter 12, please share

使用Visual C++编写的生成三次Hermite曲线的源代码。(Bicubic Hermite code in Visual C++.)

bgslibrary_x86_v1.9.2,是MFC的实现文件，包含37种背景减除算法，对于做目标提取的研究非常有用。(The BGSLibrary was developed by Andrews Sobral and provides an easy-to-use C++ framework based on OpenCV to perform background subtraction (BGS) in videos. )

生成相机标定所用的方格图，用于相机标定使用(Generates the grid chart used to calibrate the camera)

用AAM算法进行人脸特征点的标定，即对人脸的眼睛，眉毛，嘴巴，鼻子及脸的轮廓进行标记，此代码标记了68个特征点。(AAM algorithm for facial feature points calibration, calibration of this code is the 68 feature points, see the instance document.)

打开bmp位图文件 彩色转灰阶 直方图均衡 直方图规定 灰阶线性化(Open the bmp grayscale bitmap image binarization functions connected domain extraction features)

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.)