经典边缘检测

基于sift的图像拼接算法，使用matlab实现(Sift-based image mosaic algorithm implementation using matlab)

关于粒子滤波跟踪目标的MATLAB程序源代码(Particle filter to track the target on the MATLAB source code)

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.)

一个时钟的简单实例。背景为白色，可根据实际需要改表盘等。(A simple example of a clock. The background is white, can be changed according to the actual needs of the dial.)

灰度质心法提取图像圆点中心坐标程序源代码(Extracted gray-scale image centroid coordinates of the dot center of the source code)

K均值 很好用的K均值代码 很好用的K均值代码(K-means K-means used in a very good code)

说明：  将像素点划分为超像素，便于进行图像处理！(Implementing superpixel segmentation)

说明：  用 MATLAB 语言实现图像的空域滤波 用 MATLAB 语言进行 FFT 及逆变换 MATLAB 提供的快速傅立叶变换函数(Spatial filtering of image using MATLAB language FFT and Inverse Transform with MATLAB Language Fast Fourier Transform Function Provided by MATLAB)

在基于的图像分割方法中，CV模型是一个非常重要模型。这是其实现ＭＡＴＬＡＢ源代码。(Based image segmentation method, CV model is a very important model. This is the MATLAB source code for its implementation.)

针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。(For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.)