数字图像处理编程入门, 包括教程和配套代码

本文提出了一种基于区域分割的分段线性变换方法，结合灰度直方图提供的有关灰度分布的统计信息 和图像提供的空间位置信息，利用各灰度区间把图像分割成不同的区域，检验要增强的目标是否落在某 灰度区间对应的图像区域内，从而加快了调整灰度区间的过程，提高了算法的执行效率。-dddddddddddddddddddddddddddddd

BMP文件读取程序。读取并记录BMP文件颜色数据，并可将颜色数据显示。-BMP file reader. BMP file to read and record the color data, as well as color data.

图像处理：旋转、平滑、轮廓、模糊、亮度调节等等处理-VC++ code about picture

opencv+vs2008实现分水岭算法-opencv+ vs2008 watershed algorithm to achieve

该函数采用kmeans法进行阈值分割 二值化kmeans.c-The function kmeans method using threshold segmentation kmeans.c Binarization

八值图像连通区域标记，为每个连通区域分配一个唯一的标号，处理后的图像按照从左到右，从上到下的顺序获得连续的标号-Binary image connected region eight marks, for each connected region a unique label distribution deal with in accordance with the image from left to right, from top to bottom order of access to continuous labeling

采用颜色丰富的水果图onion进行测试。 分别采用“邻近行插值”、“邻近列插值”、“均值插值”三种插值方法进行图像旋转后的处理。 并附有注释、程序清晰、易于阅读。 可以看到图像旋转的过渡过程。 相信图像初学者阅读后应该有很大的收益。-linjinhangchazhi, linjinliechazhi, junzhichazhi.

opencv的中文教程，很好用的，可以快速入门学习-Chinese opencv tutorial, very good use, you can learn Quick Start

matlab写的质心沃龙诺依程序，把需要划分的区域划分成相应的质心沃龙诺依区域，质心沃龙诺依图是在沃龙诺依图的基础上把随机的产生点固定在每个沃龙诺依区域的质心上-write matlab centroid Vorontsov Noida procedures, the needs of the division is divided into regions corresponding centroid Vorontsov Noida region, center of mass Noida Figure Vorontsov Vorontsov was Nooyi map based on the random selection of points fixed in each In Noida Vorontsov mind the quality of regional

此程序实现的是对一幅图像进行卡尔曼滤波实现多天线时变信道下基于卡尔曼滤波跟踪的数字图像通信系统仿真-Realize this procedure is the image of a Kalman filter to achieve multi-antenna time-varying channel tracking based on Kalman filtering of digital image communication system simulation