logpolar

K均值聚类算法对图像进行分割，实验用程序，亲测可用。(K-means clustering algorithm for image segmentation, experimental procedures, pro-test is available.)

给予matlab的JPEG压缩程序，包含原始压缩图片，程序对灰度bmp图片进行JEPG编码，压缩成以0101形式的编码。JPEG编码先把图象色彩RBG变成亮度Y和色度Cr、Cb，它利用人的视觉对色度不敏感的特点，减少一部分色度数据，以达到压缩。 JPEG采取多种编码方式，包含有行程编码(Run Length Coding)和哈夫曼(Huffman)编码，有很高的压缩比。在编码前，先对数据进行分块，离散余弦变换（DCT）及量化，保留能量大的低频信号，丢弃高频信号以达到压缩。(Given to the JPEG compression matlab program, contains the original compressed image, the program of the grayscale bmp picture JEPG encoded, compressed into a 0101 form of encoding. RBG color coded JPEG image into a first luminance Y and chrominance Cr, Cb, which uses the human visual characteristics is not sensitive to the color, reduce the number of color data to achieve compression. Take a variety of JPEG encoding, includes length coding (Run Length Coding) and Huffman (Huffman) coding, a high compression ratio. In the code before the data block, discrete cosine transform (DCT) and quantization, to retain a large low-frequency signal energy, discarding high-frequency signals in order to achieve compression.)

说明：  使用tensorflow框架搭建神经网络，从单目图像中估计深度值(Using tensorflow framework to build a neural network to estimate depth from monocular images)

蚁群算法实现医学图像的分割，同时对比FCM算法，非常有用，可以直接运行，包含测试MRI图片(Ant-Colony algorithm for MRI image segmentation including MRI image for testing.)

方向加速法（Powell）是一种直接法，不用计算目标函数的梯度，仅通过比较目标函数的数值大小来移动迭代点就可以求出极值。(Powell use for registration)

说明：  jm软件源码，用于流媒体编码标准H264的性能评测(jm-source software for streaming media encoding standard of the performance evaluation H264)

本实例实现了以下功能： 　　1.39条码生成功能 　　2.EAN-13条码生成功能 　　3.Code128条码生成功能 　　4.QR Code码制的二维条码生成 　　5.二维码制的解析功能    

程序是实现交通标志图像的分割GUI界面，采用分割的方法主要有Ostu，阈值迭代选择法及区域生长法。(Program is to achieve a traffic sign image segmentation GUI interface, the mainly segmentation methods are Ostu, iterative threshold selection method and region growing method.)

adaboostcode，这是matlab环境下的adaboost代码，希望对各位有帮助。(adaboostcode, this is the matlab environment AdaBoost code, you want to be helpful.)

说明：  K均值作为图像分割的经典算法，新手必学算法。利用K均值进行图像分割，关于分类个数可以进行人为设定。(As a classical algorithm for image segmentation, k-means is a must-learn algorithm for beginners. The k-means is used for image segmentation, and the number of classification can be set artificially.)