OpenCV进行皮肤检测。使用阈值法和贝叶斯方法。当…

将BMP,JPG格式的图片压缩处理，可以设置压缩质量，图片横宽比例。-To BMP, JPG image compression format, you can set the compression quality, pictures, cross-width ratio.

何斌编写的VC++图像处理书籍的全部源代码-HE Bin, prepared by VC++ image processing source code of all books

应用C++Builder编写图像处理中的锐化图像程序-Application of C++ Builder in the preparation of image processing procedures for sharpening images

用c++编写的基于内容的图像检索源代码。-With c++ Prepared content-based image retrieval source code.

matlab实现的多种图像边缘检测与分割处理，适合初学者学习。-matlab to achieve a variety of image edge detection and segmentation processing, suitable for beginners to learn.

包含图像的DCT变换，方块编码，直方图均衡，维也纳滤波等28种基础处理，用VC实现，包含测试图像，比较有实用价值-Contains images of DCT transform, box codes, histogram equalization, Vienna filtering based on 28 kinds of treatment, using VC realize, including the test images, comparison has practical value

有关数字图像处理的几个程序，包括直方图均衡化（不用matlab自带函数）、空域butterworth滤波等，请多指教。-Related to digital image processing of some procedures, including histogram equalization (do not bring their own matlab function), such as air filter butterworth, please advice.

这个是彩色图像分割方法。与RegionExtract采用的方法不同。 首先rgb转换成hsv，对h分量进行直方图分割，得到直方图的峰值和峰谷。利用得到的峰值和峰谷进行区域分割，这样会得到很多的小区域，对这些小区域进行区域合并，区域合并的终止条件是：区域一致性距离在某个固定的阀值之间，比如20或者在某个自适应阀值（该阀值自动计算）。注意：区域合并在luv空间进行。-This is a method for color image segmentation. With the different methods used RegionExtract. First rgb convert hsv, components of the h histogram segmentation, the histogram peak and peak and valley. Utilization of the peak and peak-valley regional partition, it would receive many of the small area of these small regional regional merger, regional merger termination conditions are: the regional consistency of the distance between a fixed threshold, such as 20 or in a self-adaptive threshold (the threshold automatically calculated). Note: regional merger in luv space.

常用的数字图像处理算法实现，都是用标准Ｃ语言实现的，绝对经典-commonly used digital image processing algorithm has been used standard C language, absolute classic

2005年学习图像分割算法过程中活动轮廓方法的对比DEMO，很有启发-2005 image segmentation algorithm to learn the process of active contour methods contrast DEMO, very enlightening