IDB

数字图像处理(冈萨雷斯)书中的边界链码实现,该程序通过取网格,简化了编码的数据量(Digital image processing (Gonzalez) the boundary chain code book, realize that the procedures through access grid, simplifying the coding of data)

《OpenCV基础教程》于仕琪主编，书中所有源代码下载，基于OpenCV的图像处理技术(" OpenCV-based tutorial," in Shi Qi editor of the book to download all the source code, based on OpenCV image processing technology)

实现不规则形状碎纸片的拼接，并展示出原图像(The splicing of irregular shaped pieces of paper is realized and the original image is displayed.)

本人搜集的Ostu图像二值化的算法，是在MATLAB环境下写的，不过上传的代码是文本格式的，各位可以根据自己需要参照一下(I collect images of two gray value of the algorithm is to write MATLAB environment, But the code is uploaded to the text format, you may need to refer to themselves)

说明：  mean shift 算法用于目标跟踪,其中有4个文件.(mean shift algorithm for target tracking, including four documents.)

基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。(Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the final feature matrix we got is combined time signature and roundness. We take correlations as our judge criteria in our experiments. It has been proved that the algorithm is not sensitivity with the rotation, scaling and translation of the object and is a useful method for target recognition applications.)

图像校正的Matlab代码，非常不错，可以实现很好的校正结果，速度也很快(Image correction of Matlab code, very good, very good correction can be achieved the result of quick)

图像分割是图像分析的关键步骤，而水平集方法是图像分割的一项热门方法，它有着许多算法不具有的优点，尤其可用于分割背景复杂信息难以提取的医学图像。这里是一些水平集分割图像的matlab的实现例子，希望可以帮到大家。(Image segmentation is the key step of image analysis, while the level set method is a popular image segmentation method, it has many advantages that the algorithm does not have, especially can be used for medical image segmentation of complex background information is difficult to extract. Here is some level set segmentation image matlab example, I hope we can help you.)

一些常见的工程光学现象的模拟，如光的衍射，光的全息(Some common optical phenomena simulation projects, such as light diffraction, optical holographic)

说明：  李春明提出的无需水平集初始化的思想是图像分割的一个重大突破，重庆大学的何传江教授对该算法进行了改进，里面是我的实现算法(Li Chunming s no need to initialize the idea of ​ ​ the level set image segmentation is a major breakthrough, Chongqing University, Professor He Chuanjiang to improve the algorithm, which is my algorithm )