能量检测,主要是看如果根据虚警概率得到门限，然后进行判决...

维纳滤波处理 //LPSTR lpDIBBits:指向源DIB图像指针 //LONG lWidth:源图像宽度（象素数） //LONG lHeight:源图像高度（象素数） //函数说明: //该函数用来对DIB图像进行维纳滤波复原操作。-Wiener filter// LPSTR lpDIBBits : DIB images at the source pointer// LONG lWidth : Source image width (number of pixels)// LONG lHeight : source image height (number of pixels)// Function :// function to the right DIB images Wiener filter recovery operation.

采用粒子群矢量量化算法生成图像矢量量化的最优码书，可以任意设定种群数与迭代代数。程序结果产生最优码书与平均误差。-Vector quantization using particle swarm algorithm for optimal image vector quantization code book, can set the number of stocks and iterative algebra. The results of the proceedings arising from the optimal codebook with an average error.

使用一维矩方法实现数字图像的像素级边缘检测-Moment method using the one-dimensional digital image edge detection

基于matlab的目标跟踪和识别的源代码，很不错。可以-Matlab-based target tracking and identification of the source code, is pretty good. Can

虹膜提取matlab程序,有说明，自己可以修改下-Matlab extract iris procedures that can modify their own under the

用opencv实现图像灰度直方图。通过颜色空间转换也可以画出颜色直方图。-Image with opencv histogram. Through color space conversion can also be painted the color histogram.

稿件名称：基于ObjectARX2004的任意复杂窗口裁剪技术 稿件作者：梅树立1 邢如义2 朱莉3 盛桂花 程序名称：stdafx.h 运行环境：Microsoft Visual C++.net 2002 注意事项： -Manuscript title: Based on the arbitrary ObjectARX2004 complex technical manuscripts cutting window Author: Mei establish one Ru-Yi Xing 2 Julie 3 Sheng Osmanthus Name: stdafx.h operating environment: Microsoft Visual C++. Net 2002 Note:

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

图像的灰度变换（非线性）-Image Transform Gray (non-linear)

背景消除方法：利用多维高斯混合模型，建立背景模型。虽然速度慢了点，但是方法很好，希望能给大家一点帮助:)