Otsus

SIFT特征提取演算法(包含匹配以及除错机制RANSAC)-可用于两张影像之特征点匹配 (SIFT feature extraction algorithm (including the match, as well as debug mechanisms RANSAC)- can be used for two images of the feature points matching)

基于特征匹配的英文印刷字符识别，里面有实验所需的图片和具体的代码(English printed character recognition based on feature matching, which contains the pictures and specific code needed for the experiment)

关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)

基于图割方法的图像分割程序代码，希望对您有帮助哦！(graph cut method to segment images, it is nessary for you to have a look if you are doing image segmentation.)

说明：  CA-CFAR的仿真程序，对初学者十分友好。(The simulation program of CA-CFAR is very friendly to beginners.)

使用二维经验模态分解进行图像的去噪操作，内含三幅测试图片和说明文档(Using Bi-dimensional Empirical Mode Decomposition for image denoising operation)

采用jerk模型对机动目标跟踪算法的实现(Using jerk model maneuvering target tracking algorithm)

经典的KSVD图像字典学习，matlab 代码，有注释，亲测可用(The classic KSVD image dictionary learning, matlab code, include notes, test available)

编制通用的二值形态学运算（腐蚀和膨胀、开、闭和击中击不中变换）函数，函数可以处理不同的变换形式和不同类型的结构元素。并用你编制的形态学函数对一个二值图象进行处理。 用形态学击中击不中变换方法对图象进行细化处理。 实验图象：二值图象由一段文字组成，word_bw.bmp (The preparation of binary morphological operations (erosion and dilation, opening, closing and hit-miss transform) function, the function can handle the transformation of different forms and different types of structural elements. You prepared in morphology function of a binary image. Morphological hit-miss transform method of image refinement process. Experimental images: binary image by a paragraph of text, word_bw.bmp)

本篇论文主要介绍地基云的自动检测！采用阈值分割！(This paper describes the automatic detection of the foundation of cloud! Using thresholding!)