find contours in image using OpenCV each contour s pixels are stored in a...

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

DCT变换的源代码，支持一维二维DCT变换及反变换-DCT transform of the source code, to support the one-dimensional two-dimensional DCT transform and inverse transform

数字图象处理教程的ppt格式课件（北理工）-Digital image processing tutorial ppt format Courseware (Northern Polytechnic)

Perlin Noise Simulator

LSB算法实现,delphi 编写，-LSB algorithm, delphi prepared

用维纳滤波去除图象噪声,保持图象清晰可见.-Wiener filter used to remove image noise, maintaining the image clearly visible.

Visual C++MATLAB图像处理与识别实用案例精选之高斯平滑算法的源程序-Visual C MATLAB image processing and recognition practical case Featured Gaussian smoothing algorithm source code

图象处理C源码分析,对学习图象处理入门的很有帮助-Image processing C source code analysis, learning the very useful image processing entry

计算图像调制传递函数（MTF）。提高图像清晰度。可以处理普通图像以及卫星照片-Calculation of image modulation transfer function (MTF). Improve image clarity. Can deal with ordinary images and satellite photos

可进行二值化、灰度变换、投影法、直方图显示，实现众多基本算法变换，针对8位或16位图象-could be two binary, gray-scale transformation, projection, histogram shows that many basic algorithm to achieve transformation, against eight or 16 images