学习书籍挖掘必读的十个经典算法，对初学者应该有帮助

单个按键多次击键的检测方法，程序匠人经典之作，非常实用-Many times a single keyboard key detection methods, procedures artisan classic, very useful

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!

细胞粘连分割算法，采用vc++6.0编译环境，能够实现粘连细胞图像的分割，算法具有一定的参考价值。-Cell adhesion segmentation algorithm, using vc++6.0 to compile the environment, to achieve adhesion cell image segmentation, the algorithm has a certain reference value.

c++ builder 图形图象处理（图象的特技） 内含源代码及所有工程文件-c builder graphic image processing (image stunts) includes source code and documentation for all project

边缘检测在图象分割、模式识别、机器视觉等中都有重要作用，人们已研究出很多种边缘检测算法，而哈夫变换和canny边缘算子等是最经典的算法-Edge detection in image segmentation, pattern recognition, machine vision, etc. have an important role, it has now developed a variety of edge detection algorithm, and the Hough transform and the canny edge operator, such as the algorithm is the most classic

对图形的边缘，可实现图像到链码，链码到图像的转换。-right to the brink of graphics, images can be realized chain code, the chain code to the image conversion.

sltoolbox (Statistical Learning Toolbox) organizes a comprehensive set of matlab codes in statistical learning, pattern recognition and computer vision. It includes 256 m-files in 24 categories, which are from low-level computational routines to high-level frameworks and algorithms

图象小波变换的源代码 VC6.0下调试 图象小波变换的源代码 VC6.0下调试-Image wavelet transform source code under VC6.0 debug image wavelet transform source code under VC6.0 debugger

sift 经典源码 作者推荐代码，结合GSL+OPENCV进行编写，可在WINDOWS下运行

高效的图像增强算法，速度快，效果好！欢迎相互交流！-Efficient image enhancement algorithm, fast, good effect! Welcome to exchange!