文件为读取图像的代码.给初学的人一个参考

用matlab编写的超分辨率图象重建程序，可以从多幅低分辨率图片生成高分辨率图片-Matlab prepared using super-resolution image reconstruction process, a number of low-resolution images can be generated from high-resolution picture

毕业设计题目：指纹的方向图技术研究，里面有三大类指纹方向图的方法：点方向图，块方向图以及连续分布方向图。解压缩后在程序说明中详细介绍了使用方法。-Graduation Project Topic: fingerprint pattern of technical studies, there are three main types of fingerprint pattern method: point the direction of graph, block diagram, as well as the direction of continuous distribution pattern. Decompress after a detailed description of the procedures for the use of methods of introduction.

数字图像处理 ppt 教程 何东健 共三部分，这是第三部分-Digital image processing ppt tutorial Dong-Jian divided into three parts, this is the third part of the

Matlab toolbox for Hidden Markov Modelling using Max. likelihood EM. Prerequisites: Matlab 5.0, System Identification Toolbox, Netlab, Marbox. LAST UPDATED: 25 Feb. 2002.

图像处理中关于灰度图像的处理占了一大部分。而灰度变换是数字图像处理必须掌握的知识。这里提供灰度变换源代码，仅供参考-Image Processing on the gray image of the treatment accounted for the majority of one. The gray-scale transformation of digital image processing must master knowledge. Here to provide gray-scale transformation source code, for reference only

该书目介绍了水中目标辐射噪声的听觉特征提取，可用于海洋遥感的应用-The bibliography presented in the water target radiated noise of the auditory feature extraction, can be used in ocean remote sensing applications

使用canny边缘提取算法提取八位深度图像的边缘-Using the canny edge detection algorithm for image edge extraction depth of 8

自己用java做的一个ps工具, 功能:对图象进行基本处理: 二值化,opening,closing,dialation,erosion,高斯模糊,等等 主要用于医学图象.-Their use java to do a ps tools, features: the basic treatment of image: Binarization, opening, closing, dialation, erosion, Gaussian blur, etc. mainly used in medical image.

实现提取图片头信息，及二值化处理的代码的功能，用GCC来连接文件，生成exe可执行文件。-Achieve the extract image header information, and the binarization processing functionality of the code with GCC to connect to the file, generate exe executable file.

一个图象RGB色彩控制演示程序，深入了解图象基本原理。-an RGB color image display control procedures, in-depth understanding of the basic tenets of image.