利用GDI+实现数字图像处理：边缘检测、底片化、暗化等处理。...

本代码实现了对BMP图像进行几何变换，如缩放、旋转，平移等-Realize this code BMP images of geometric transformations, such as scaling, rotation, translation, etc.

卡尔曼和维纳滤波器的设计及使用 附带源代码-Kalman and Wiener filter design and the use of collateral source code

带有注释的opencv的camshift程序-Opencv with the annotation process of camshift

ncut分割算法matlab代码,实现图像分割较好的方法-matlab code ncut segmentation algorithm to achieve better image segmentation methods

主要是关于彩色图像边界提取的源代码。里面包含有待处理的图片以及所有的源代码，即M文件。-Mainly on the color image edge extraction of the source code. Which contains the picture to be addressed, as well as all the source code, that is, M documents.

采用小波变换的方法实现了数字水印的嵌入与提取，效果非常不错！-Using wavelet transform method to achieve the digital watermark embedding and extraction, the effect is very good!

直线中点Bresenham算法-Straight-line mid-point Bresenham algorithm

实现march_cube的源程序，在流体模拟，医学图像处理领域有很重要的应用-March_cube realize the source, in fluid simulation, medical image processing has very important field of application

摘要：拐点是数字图像中的一个重要信息载体 提出一种新的拐点检测算法 该算法并非寻找连续空间中曲率的离散近似计算方法，而是源于离散曲线的外观特征，推导出离散曲线上拐点处k个点对间欧氏距离平方和局部最小这一重要性质。基于该性质，本算法首先利用Freeman链码的性质.过滤掉物体边界上明显不可能成为拐点的象素，然后在剩余的边界点中通过寻找该局部最小值定位出拐点。给出了本算法与四种著名拐点检测算法的对比实验。 -Abstract: The inflection point is a digital image of an important information carrier put forward a new turning point detection algorithm the algorithm does not look for continuous space discrete approximation of the curvature calculation method, but from the appearance of characteristics of discrete curve derived discrete curve the inflection point at k-points between the squared Euclidean distance and the local minimum of this important property. Based on the nature of the algorithm is the first to use Freeman chain code in nature. Filter out objects clearly can not become a turning point on the border pixel, and then in the remaining boundary points by finding out the turning point of the local minimum position. The algorithm is given inflection point detection algorithm with th

国外著名大学成功的人脸检测示例中一部分！包含多种环境下的代码-famous University of face detection illustration part! Covering a wide variety of environment code