在多变型图像处理中，对各层高频系数进行阈值Wiener处理

利用vc++对动态目标进行检测，也可配合摄像头使用-Using vc++ for dynamic detection of targets can also be used with the camera

采用国际标准测试图cameraman进行测试。分别采用均匀性度量法、类间最大距离法、最大熵方法三种方法进行图像分割。并附有注释、程序清晰、易于阅读。相信图像初学者阅读后应该有很大的收益。-junyunxingduliangfa, leijianzuidajulifa, zuidashangfangfa,

基于自组织神经网络数据及图像处理，在图像分割中应用极强。很好的源程序。 -Self-organizing neural network-based data and image processing, image segmentation in the application of highly. Very good source.

基于视频运动对象的快速提取 采用了差分法,光流法以及贝叶斯估计-Moving Object Based Video Fast extracted using a finite difference method, optical flow estimation method and the Bayesian

一个超强悍的数字图象处理程序，包括几乎所有常用的处理功能．-A super-powerful digital image processing procedures, including almost all commonly used functions deal.

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

Goodfectertotreck的实现-Goodfectertotreck opencv

利用分层方法进行区域分割的新方法，很实用。-Stratification method to use the new method of region segmentation, it is practical.

图象的检测，模板匹配算法代码,包括detect.c.bmp.rc,bmp.h等-image detection, template matching algorithm code, including detect.c.bmp.rc. bmp.h etc.

• To design a GUI in MATLAB for Dual-Tone Multi-Frequency (DTMF) telephone key pad, including DTMF Signal generator and DTMF tone detector • To simulate the DTMF signals with noise based on the specifications given. • To decode and display the DTMF signals by using FFT algorithm