use Hough transform methods for detection of the image, round can be achieved vc

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

快速搜索算法,实现简单，看完后绝对水平大增-Quick search algorithm is simple, After reading the absolute level of increase

经典图书[1999] Level Set Methods and Fast Marching Methods-Book: [1999] Level Set Methods and Fast Marching Methods, Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science by . A. Sethian University of California, Berkeley

采用基于相似关系矩阵的方法对彩色图像进行边缘检测-Similarity relation matrix based on the method of color image edge detection

VC编写的RGB到YUV422的转化小程序-VC prepared RGB to YUV422 conversion applet

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是代码转换-for image processing, have been tested, the very practical, The source code is a major change

已知24位位图图像，计算其质心位置，并以质心为极点在边界相应位置取点-known bitmap images, calculate the center position, and center pole of the border point from the corresponding location

基于ISE的DPRAM进行并行和串行的数据格式转换。-use for the ISE DPRAM IP to do with form parallel data format to serial fromat process.

视频人脸跟踪识别算法研究 硕士论文 -Video face recognition algorithm to track a master

二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快。-Two-dimensional empirical mode decomposition, the use of morphology for extreme points, Radial Basis Function Neural Network Fitting, faster.