颜色直方图

这是sift算法的c实现，用于拼接全景图的开源项目Hugin中找控制点（特征匹配）。-This is the c to achieve sift algorithm for stitching panorama of the open-source projects to find control points in Hugin (feature matching).

本人写的用行程算法进行连通域标记的一段小代码-I used to write the trip algorithm connected domain labeled a small code

用于在窗口中加载colorbar的IDL源代码-For the colorbar in the window to load the IDL source code

该程序利用小波模极大值对图像边缘进行检测并提取,效果很理想-The program using the wavelet modulus maxima of the image edge detection and extraction, the effect of very satisfactory

配套专业版源代码软件DIPA功能简介 与《实用图像处理与分析》配套的源代码软件DIPA是一套完全可执行的VC++界面源代码，界面内容除了图像的表示、读入、保存、彩色变灰度以外，还包括图像的2值化处理、微分变换、几何变换、彩色变换、参数测量、傅里叶变换、小波变换、Hough变换、模式识别、神经网络、遗传算法、图像压缩等功能，提供有近100个图像处理与分析函数的源代码。该软件主要适用于图像处理的教学和科研-Supporting the professional version of the software source code About Dipa functional and practical image processing and analysis, the source code of the software package Dipa is a fully executable VC++ Interface source code, interface elements in addition to images that read, preserve, gray color change also includes image processing of 2 values, differential transform, geometric transformations, color transform, parameter measurement, Fourier transform, wavelet transform, Hough transform, pattern recognition, neural networks, genetic algorithms, image compression, etc. function, provided there are nearly 100 image processing and analysis function of the source code. The software is mainly applied to image processing teaching and research

经典数字图像教程，各种常见变换源码，学习数字图像必备的工具-Classical digital image tutorials, all kinds of common-source transformation, learning digital imaging tools necessary

序列图像多帧对比度增强和边缘检测，手动选择阈值-Multi-frame image sequence contrast enhancement and edge detection, manual selection threshold

这个Matlab程序可以在一个目标图像中找到一个模板图像。 -The Matlab program can be found in a target image of a template image.

将黑白图像转换成灰度级―邻域平均灰度级二维直方图-Black and white images will be converted into gray-scale- the average gray-scale neighborhood of two-dimensional histogram

一书的第二章示例随机抖动法显示图像,很好的一本书和算法- chapter of a book on a random sample jitter display images, a good book and an algorithm