这是一个非常好的视网膜皮层理论算法，里面含有代码。

各种基本图像处理功能：1、格式转换：将RAW格式转换成BMP格式；2、线性变换；3、图像平滑；4、图像增强；5、边缘检测：梯度算子，Robert梯度算子，Prewitt算子，Laplacian算子，Sobel算子，Marr算子；6、直方图显示；7、形态运算（二值化、腐蚀、膨胀、开运算、闭运算）；8、自动分类及类别提取：K均值分类。其中：1.2.3.4.5.7仅能对灰度图处理，6.8不仅能处理灰度图还能处理彩色图-Basic image processing functions: 1, format: RAW format will be converted to BMP format 2, linear transformation 3, image smoothing 4, image enhancement 5, Edge Detection: Gradient Operator, Robert gradient operator, Prewitt operator, Laplacian operator, Sobel operator, Marr operator 6, histogram display 7, computing forms (two-value, corrosion, swelling, open computing, closing operation) 8, automatic classification and type of extract: K-means classification. One of: 1.2.3.4.5.7 only treatment for grayscale, 6.8 can not only deal with deal with grayscale color map

采用多孔trous算法(undecimated wavelet transform)实现小波变换,用的是一维信号-The use of porous trous algorithm (undecimated wavelet transform) the realization of wavelet transform, using a one-dimensional signal

本程序绘制了经过小波分解的图像，然后再进行重构。-This procedure has been drawn through wavelet decomposition of the image, and then reconstructed.

应用Meanshift实现对视屏序列的运动目标进行跟踪，抗遮挡性较强。-Application of video sequences Meanshift achieve the objectives of the exercise track, a strong anti-block.

小波分析理论入门，对图像处理信号分析的研究人员很有意义，强烈推荐-Introduction to the theory of wavelet analysis, signal analysis of the image processing researchers meaningful strongly recommend

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

KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用 -KPCA major noise in the image to have the application. In addition can also be used for feature extraction, dimensionality reduction using

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Add a video background to the segmented video -Add a video background to the segmented video

数字图像相关法是对全场位移和应变进行分析的一种新的实验力学方法。图像处理是其核心之一。本文探讨了根据相关技术寻 求位移场的基本原理,并编制了基于Matlab的数字图像相关法程序。程序验证结果表明本程序处理速度快,精度高,可以满足基于相关技 术的图像处理的要求。-err