应用C++Builder编写图像处理中的旋转及翻转图像程序

sift图像匹配算法实现 两幅图像合并成一幅图像-image matching algorithm sift two images into an image

图像的几种经典拼接算法，以及其他图像处理算法-Several classical image stitching algorithm, as well as other image processing algorithms

介绍了视觉颜色空间及其在交互式图像分割中的作用, 实验分析了它的奇异性, 在此基础上, 考虑像素的 空间和色彩分布, 提出了基于区域生长法的多颜色空间、 多度量准则的聚类算法和零碎区域的合并算法, 颜色空间选取HSL 和RGB 两种, 相似性度量包括了种子点、 扩张点和生长区域三个方面, 并用于敦煌壁画图像的分割.-Introduce the visual color space and its application in interactive image segmentation of the role, experimental analysis of its singularity, on this basis, taking into pixel space and color distribution, based on region growing multi-color space, multi-metric criteria clustering algorithm and fragmented region merging algorithm, select the HSL color space and RGB are two similarity measure, including the seed point, the expansion point and the three aspects of regional growth, and for image segmentation in Dunhuang murals.

使用VC++处理图像，可以实现拉普拉斯边缘增强、中值滤波、灰度化、象素点反转-Use VC++ Deal with images, you can realize laplace edge enhancement, median filtering, gray, and pixel-point inversion

一个对位图进行几何变换的 VC++完整的源程序，传上来与一起研究位图的同仁们共同分享-A bitmap to the geometric transformation VC++ Complete source code, Chuan-up connection with a study of Tongren bitmaps are shared

本源码是基于VC的人脸检测系统，适合初学者-The source is based on the VC

基于小波变换的数字水印论文，四篇，对想学习基于小波的数字水印的比较有帮助。-Digital watermarking based on wavelet transform paper 4, to want to learn digital watermarking based on wavelet more helpful.

对图像进行傅立叶变换处理（图像变换）的源代码，编译后的可执行文件-right image Fourier transform (image transformation) of the source code, the compiled executable file

这篇文章是发表在08年ACM上的一篇图像检索综述，作者是PSU大学的博士毕业生，作者参考了300多篇文献，非常细致的讲述了image retrieval近几年的算法，方法，以及发展方向。-This article was published in the 2008 ACM on an image retrieval review, the author is a Ph.D. graduate PSU University, the authors made reference to more than 300 literatures, very careful about the image retrieval in recent years, algorithms, methods, and direction of development.

This Matlab code implements an edge based geometric active contour model without reinitialization. MATLAB Release: R13SP1 This Matlab code implements the level set method in Chunming Li et al s paper "Level Set Evolution without Re-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005. EVOLUTION.m: core function that performs level set evolution. Demo1.m: a demo for a real cell images Demo2.m: a demo for a synthetic noisy image Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user