simon haykin 的自适应滤波原理教程，关于自适应滤波器设计一般背景的优秀教材...

The source is to find the detecting object center in anti-projection image.particularly,it can detct colorful object.

此代码是关于查找图象中的粒子数目，可以运行，仅供参考-this code is on the search for the particle image number, you can run, for information purposes only

用模糊逻辑开发的图像分割程序，含图像分类，数据等。-Use of fuzzy logic developed image segmentation procedures, including image classification, data, etc..

关于图像变换（裁剪，合并，旋转，镜像，缩放），图像处理（正交变换，卷积，平滑，锐化，边缘检测，边缘增强等），图像特技显示（扫描，移动，百叶窗，马赛克，珊条，渐显渐隐）等功能的图像处理VC++源程序-On the image transform (cut, merge, rotate, mirror, zoom), image processing (orthogonal transform, convolution, smoothing, sharpening, edge detection, edge enhancement, etc.), Image stunt show (scanning, mobile, shutters, mosaic, shan be fade) of the image processing features such as VC++ source code

数字图像处理中常用的傅立叶变换算法，VC编写，包含完整源代码与实例图片，很实用-Digital image processing used in the Fourier transform algorithm, VC preparation that contains complete source code and examples of pictures, very useful

图像平滑，锐化，形态学变化，边缘检测等功能-image smoothing, sharpening, morphological changes, edge detection, and other functions

对图象进行中值滤波的程序,选取一幅图象,加入噪声,对图象中值滤波,输出图象.-Of image median filtering process, select an image, adding noise, median filter images, the output image.

脆弱及半脆弱水印论文10篇，包括用于图像认证的水印，文本水印，音频水印的论文-Weak and semi-fragile watermarking papers 10, including those for image authentication watermark, text watermarking, audio watermarking papers

一个人脸识别程序，包括gabor滤波和用神经网络进行训练-A face recognition process, including gabor filtering and the use of neural network training

针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 -Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic