用ICA方法分离混合信号，采用H_J方法，输入信号为超高斯信号，如声音信号...

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

Visual C++MATLAB图像处理与识别实用案例精选之　图像收缩　算法的源程序，含标准测试图片-Visual C MATLAB image processing and recognition of practical cases selected images contraction algorithm source files, including standard tests Photo

很不错的小波神经网络人脸检测源码，与大家分享-Very good wavelet neural network face detection source code to share with you

著名的 sugiyama算法的实现， 即在一个图像中，尽量减少各个线之间的交叉-famous sugiyama algorithm to achieve that in an image, minimize the line between the various cross-

人脸识别中特征提取matlab源码，LDA，-Face Recognition feature extraction Matlab source, LDA.

该程序主要的功能事实现：图像的膨胀，图像的腐蚀-The major functions of the program realize things: the expansion of images, images of the corrosion

图像处理中，可以显示图像，并对图像进行操作处理，形态变换等，是图形图像处理有用的一个程序-image processing, can show images and image processing operation, morphological transformation. Graphic Image processing is a useful procedure

这是一个Visual c++ 数字图象基础的源码-This is a Visual c digital images based on the source

视频编解码源代码 -Video codec video codec source code source code

很好的进行了图像轮廓和边界的分析 ，绝对正确。-Very good for the image contours and boundaries of the analysis, absolutely correct.