图象拼接SIFT算法的C原代码

数字识别 我初学者 希望能大家喜欢我上传得-digital identification beginners I hope everyone likes me in behind the upload

图像处理软件 souceforge上下的-Image processing software from top to bottom souceforge

早期，matlab主要是进行科学计算等应用，而目前可以有了更广泛的用途，如图像处理，上传文件就对matlab中的图像处理命令进行了详细介绍。-Early, matlab is mainly for scientific computing applications, can now have a broader range of uses, such as image processing, upload files on the right of the matlab image processing commands are described in detail.

A Particle Level Set Library

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！-First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!

这是一个简单的模拟水面反射效果的程序,程序中使用了GPU编程技巧-This is a simple simulation of surface reflection effects of the procedure, procedures using the GPU Programming Skills

基本图像处理的VC6源码,内有详细的代码说明和图像效果-Basic image processing VC6 source, which has a detailed code description and image

一个图像文件格式转换程序，支持jpeg、ico、bmp和txt交换，但可能还是第一版，会有点BUG

粒子滤波 该程序适合初学粒子滤波的人看 用粒子滤波跟踪了一个状态变量-Particle filter for the process of learning people will look at particle filter with a particle filter to track the state variables

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