This provides Susan edge detection of two source codes and an examples

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!

JPEG输出YUV程序12345678

图像的组成无非是一些字符串或者一些字节组成的字符串，然而，每一个字节数据位的重要度并不是一样的，两个相邻字节往往只有低位是不一样的。例如：00100110和00100111代表了两个不同渐变度的红色，但是就人眼是分辨不出来的。最低有效位LSB算法，就是利用这一点，达到图像压缩，或者数字水印的功能。-The composition of the image is nothing more than some number of bytes or string composed of string, however, one byte for each data bit is not an important degree of the same, often only two adjacent low-byte is not the same. For example: 00100110 and 00100111 represent the gradient of two different degrees of red, but on the human eye is not out to tell. Least significant bit LSB algorithm, is to take advantage of this point, to achieve image compression, or digital watermark feature.

不用MATLAB自带函数求解灰度图像的直方图-MATLAB function to solve do not own histogram

图像处理中的图像变换的源码与变换后的结果图，包括dct变换，dft变换，w-h变换等-Image Processing Image Transform source and transform the result of plans, including the DCT transform, dft transform, wh transform

hough变换的一些经典文章，可供参考。-hough transform a number of articles for reference.

数字图像处理编程入门, 包括教程和配套代码-digital image processing program entry, including tutorials and code matching

数字图像 图形处理 visual c++ 开发 转制代换的源代码-digital image graphics processing visual c conversion substitution development of source code

C++编写的医学用的细胞识别统计系统,可以腐蚀膨胀,平滑,最后统计出细胞个数.

在VC++平台上实现图形图像的百叶窗效果-In VC++ platform to achieve the effect of graphic images of blinds