CBIR

说明：  利用IDL编程，使用最小距离法对图像进行监督分类(Using IDL programming, using the minimum distance method to supervise the classification)

凸多边形检测和显示--先把图像中的显著区域提取出来，然后用最小凸多边形囊括显著区域，并把凸多边形显示出来(Convex polygon detection and show- first images extracted significant area, and then use the smallest convex polygon covering a significant area, and the convex polygon displayed)

说明：  InSAR数据处理研究，其中采用最小二乘和质量图指导两种相位解缠方法(The research of InSAR Data processing)

该文件包含高斯高通滤波的源代码和高斯低通滤波的源代码，可以运行，效果很好(Gaussian high-pass filter Gaussian low-pass filtering )

说明：  在matlab中应用hough变换进行虹膜定位，效果不错，供大家学习！(Application of the hough transform matlab for iris location, good results for everyone to learn!)

说明：  利用matlab对只包含RBG三个波段的图像进行植被提取，通过设定一定的阈值将植被与背景进行分割(The vegetation is extracted from the image containing only three bands of rbg by matlab, and the vegetation and background are segmented by setting a certain threshold.)

说明：  彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3) image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation.(This function implements kmeans clustering on an input RGB (m x n x 3) image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation.)

简单的灰度图像的K均值聚类分割，Matlab实现(gray image segmentation using K-means clustering by matlab.)

请采用学过的图像去噪方法（鼓励自己研究新算法），对Circuit_noise.jpg 、boy_noisy.gif（周期噪声） 和california_22_13.bmp图像进行去噪处理。(Please use learned denoising method (to encourage their study new algorithm), to Circuit_noise.jpg, boy_noisy.gif (periodic noise) and california_22_13.bmp image de-noising.)

这是运用matlab进行图像处理时会遇到的基本操作，包括图像的代数运算、几何运算、空间变换、区域操作等(This is for image processing using matlab will encounter the basic operations, including images of algebra, geometry operations, space transformation, regional operations, etc.)