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这是我自己写的关于 图像处理中retinex、SSR、自适应的对比度增强算法的模板，有很好的效果 希望对你们有帮助( this is for retinex module, I wish it can help for you )

提出一种基于小波变换的图像配准方法。该方法首先用小波变换提取边缘特征点, 同时构成小波金字塔影像。在最高层利 用角度相关系数确定基准图像和配准图像之间的旋转角度, 经多分辨分级搜索匹配得到最终匹配特征点对, 利用这些特征点对待 配准图像进行配准纠正。实验结果表明, 改进方法有较好的效果, 可用于广泛应用领域。(Proposed a wavelet-based image registration method. In this method, using wavelet transform to extract the edge feature points, the same time constitute wavelet pyramid image. Point at the highest level the correlation coefficient using the baseline image registration between image and the angle of rotation, the multi-resolution hierarchical searching and matching features of the final match point, the use of these features point towards registration image registration correction. Experimental results show that the improved method has better results, can be used for wide range of applications.)

本程序实现了基于对比金字塔的图像融合算法，效果还不错，可以参考一下。(This procedure contrast pyramid based on the implementation of image fusion algorithms, the effect was not bad, you can reference.)

主要是对视网膜图像进行血管分割，效果还不错(Primarily on retinal vascular image segmentation, the effect was not bad)

粒子滤波去噪程序 目标跟踪 粒子滤波的实验程序( particlefilter target tracking)

文章讲述了一种基于多边形的优化排样方法，结合不规则件特征确定了零件排放的最佳位置，给出了排料规则库的设计，通过排料空间的边界组织和边界更新，形成了新的排样空间。 (Article describes a polygon-based layout optimization method combined with irregular parts on characters of the part the best place to discharge given row of the design rule base material, the border by nesting space organization and boundary updates, formed The new layout space.)

图像配准和拼接，肯定可以使用。。。harris+ransac(Image registration and stitching, they can definitely use. . .)

该资料中的程序实现的是图像压缩，供初学者学习。(The data of the program implementation is the image compression, for beginners to learn.)

基于IHS变换的图像融合matlab程序，基于IHS变换和小波帧变换的图像融合matlab程序。(IHS transform based image fusion matlab program, based on the IHS transform and wavelet frame transform matlab image fusion procedures.)

这是一种小波对图像进行除燥的算法，它的比较好，对小波的初学者很实用，可以看看(This is a kind of wavelet algorithm for the image in addition to dry, it is good, very useful for the beginners of wavelet, can have a look)