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说明：  《80例上手Delphi7编程_06图形图像多媒体》书附盘。包括镜框、渐变色、动画、艺术字等图像处理示例。("80 cases easily Delphi7 programming _06 imagery multimedia" book with CD. Including the frame, graded color, animation, art images, such as word processing examples.)

Viola-Jones Fast Face Detection的matlab实现。(Viola-Jones Fast Face Detection Mex Implementation)

基于马尔可夫随机场(MRF)、条件迭代算法ICM的图像分割源码(The MRF, the ICM-based image segmentation source code to source image segmentation based on the MRF ICM)

窗口置外形图片的应用--数码时钟，易语言写的图形图像编程，很好的参考。(Window profile picture-- Application of digital clock, easy graphic language programming, a good reference.)

本代码实现的功能：24位位图（BMP）的灰度化。具体实现过程：打开图像文件,找到数据区(每3个字节代表一个象素的R,G,B值),循环扫描,根据RGB的权重,计算出灰度值. 如果要得到256色灰度图,则要新建一个调色板,修改信息头和文件头.(Realize the function of the code: 24-bit bitmap (BMP) of the gray. Concrete realization of the process: Open the image file, locate the data area (3 bytes per pixel on behalf of a R, G, B values), cyclic scan, according to the weight of RGB, gray value is calculated. If you want to get 256 colors grayscale, would create a new palette, modify the header and file header information.)

使用特征差别提取，通过特征差别相减，以去除高斯背景(Using the characteristics of different extraction, the characteristics of different background subtraction, to remove Gauss)

适合各类图象， 手动选择感兴趣目标区域，使用于图象图象处理，同时包含一区域生长程序。(Suitable for all types of images, manually select the target region of interest, the use of image processing in the image at the same time contains a region growing procedure.)

运用HOG提取人脸特征与支持向量机算法训练模型，进行人脸识别(Using HOG to extract facial features and support vector machine algorithm training model for face recognition)

说明：  Hu矩定位图像，可以提取图像的特征，然后进行匹配定位(Hu Moment positioning images, can be extracted image features, and then proceed to match the positioning)

附带GUI界面，可用于各种图像的特征点提取，并对两幅图像进行配准拼接，使用的是sift算法( U9644 u5E26G0 u754C u972 u53EF u7528 u4E8E u5404 u79V U8FDB u884C u914D u51C6 u62FC u63A5 uFF0C u4F7F u7528 u7684 u662Fsift u7B97 u6CD5)