检测皮肤代码 face_detection1

实现三层图像金字塔构建和两幅图像融合，代码完整(Three layers of image Pyramid construction and two image fusion, complete code)

说明：  自动检测干涉条纹中心线算法，代码功能强大，模块很多，方便逐一了解，全自动的算法优势。(Automatically detects interference fringes centerline algorithm, code, powerful, a lot of modules, easy to understand one by one, fully automatic algorithm advantage.)

数字水印技术基于matlab的程序源码。。基于dct域的水印技术(Digital watermarking technology is based on the procedures for matlab source. . Based DCT domain watermarking technology)

ant蚁群算法,求解局部或者全局优化问题,(Ant colony algorithm to solve local or global optimization problems,)

用YCbCr看histogram 並將 圖片除存(Use YCbCR to look histogram)

三种改进的图像增强算法，包括改进的类拉普拉斯增强算法，混合式MSRCR彩色图像增强算法，区域自适应反锐化掩模图像增强算法。(Three improved image enhancement algorithms, including improved classes, Laplace enhancement algorithms, the hybrid MSRCR Color Image Enhancement algorithm, region adaptive unsharp mask image enhancement algorithms)

与坐标相关的阈值也叫动态阈值、局部阈值、自适应阈值，局部阈值法：自适应图像分割。(Threshold associated with coordinates, also called dynamic threshold, local threshold, adaptive threshold, local threshold method: adaptive image segmentation.)

二值图像处理运算是从数学形态学下的集合论方法发展起来的,尽管它的基本运算很简单，但是却可以产生复杂的效果。常用的二值图像处理操作有许多方法，如腐蚀、膨胀、细化、开运算和闭运算等等。本文对这些内容作些研究探讨， 希望对爱好图像处理的朋友有所帮助。(Binary image processing algorithms are developed set theory in mathematical morphology. Although its basic operation is simple, it can produce complex effects. Commonly used binary image processing operations there are many ways, such as corrosion, expansion, refinement, open operation and closed operation and so on. In this paper, some of these studies to explore, I hope to love image processing friends help.)

说明：  在VC中实现了使用Moravec算子对遥感影像进行特征点的提取，缺点是速度较慢。不过提取效果不错！(Implemented in VC using Moravec operator of remote sensing images feature point extraction, the disadvantage is slow. However, extracting good results!)

lda线性特征提取，用于人脸识别，首先进行小波特征提取后用lda提取特征。(lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.)