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hsv的空间量化，要求输入为hsv空间中的图像。分别对h、s、v三个分量进行量化。(hsv space quantization, for admission to hsv space images. Respectively h, s, v 3 components quantified.)

根据超限像素平滑定义用 Matlab 自编写超限像素平滑法滤波(Super pixel smooth)

demons算法用来实现图像的配准，特别是医学图像的配准，已经达到了很高的精度(demons algorithm is used to achieve image registration, especially in medical image registration, has reached a very high accuracy)

gmcalab fast generalized form component analysis, Multi-target tracking particle filter, Calculate the multifractal trend fluctuation analysis.

说明：  用POCS方法对图像进行超分辨率重构，matlab源码，有解释(POCS method using super-resolution reconstruction of images, matlab source code, to explain)

针对同一场景可见光与红外图像的融合问题,提出了一种新的多尺度对比度塔图像融合方法. 该方法 利用对比度金字塔数据结构得到图像的多分辨序列,采用基于视觉特性的融合算子在图像的相应各级上融 合源图像的细节,再通过金字塔逆变换重构出最终融合图像. 这种图像处理方法具自适应性,不随各自输入 图像的灰度特性而改变,同时增强了融合图像的对比度,产生了较好的视觉处理效果.(for the same scene of visible and infrared images of integration, proposed a new multi-scale tower contrast images. The use of contrast pyramid data structure Image multiresolution sequence, based on visual characteristics of the integration operator of the image corresponding levels of integration details of the source image, through the inverse pyramid transform eventually fused images. This image processing method has adaptability without their input image with the gray characteristics change, while enhancing the integration of the contrast of the image. have a better visual effect.)

说明：  去除图像中的横向条纹，能有效恢复出原始图像(remove images of horizontal stripes, can be effectively restored from the original image)

matlab 车牌识别，含有gui界面，边缘检测车牌定位，神经网络字符识别(Matlab license plate recognition, including GUI interface, edge detection, license plate location, neural network, character recognition)

在visual c++中用分形完成的julia集,是分形的具体应用,对学分形的朋友应该有帮助(In the visual c++ Used to complete the julia fractal set, is the concrete application of the fractal, Friend of the credits should be shaped to help)

通过Markov随机场（MRF）实现图像的分割，例程给出了图像分割为3类的MRF算法(By Markov random field (MRF) for image segmentation, image segmentation routine gives the MRF algorithm for the three classes)