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说明：  利用区域能量方法的matlab图像处理程序直接可用(Use of regional energy method matlab image processing program can be used directly)

颜色特征提取，为matlab 源文件，是底层图像处理的基本特征之一，是本人在做硕士论文时收集修改的代码(Color Feature Extraction for the matlab source file, the underlying image processing are one of the essential features)

基于MeanShift算法将图像进行平滑处理去噪并分割(MeanShift algorithm based on smoothing the image de-noising and segmentation)

介绍了不同非线性模型在随机共振中的应用，像饱和非线性，阈值非线性等(Describes the different nonlinear model of stochastic resonance in the application, such as nonlinear saturation threshold nonlinearity. . . .)

边缘检测法和阈值分割法，是图像分割技术应用中两项重要的方法。本文介绍了图像边缘检测和阈值分割的一般原理、典型算法以及研究现状。本文针对边缘检测算子和几种阈值分割技术进行了详细讨论。针对火柴根数统计和钢筋根数统计两个实验，在详细分析检测原理的基础上，编写了相应的实验并给出了实验结果。(Edge detection and thresholding method, image segmentation is an important technology in two ways. This article describes the general principles of image edge detection and thresholding, the typical algorithms and research status. In this paper, several edge detection operator and thresholding techniques are discussed in detail. Statistics for the number of matches and reinforced the number two experimental statistics, based on a detailed analysis of the detection principle, write the corresponding experimental and experimental results are given.)

使用matlab编写的啤酒瓶缺陷检测程序，测试通过（毕设）(Prepared using matlab beer bottle defect detection procedures, test (complete set))

用小波变换作为稀疏基，采取OMP算法将图像重建恢复，由于算法计算量大会导致成像时间过长，程序用改进的分块处理缩短了时间，(Wavelet transform as a sparse base, take OMP algorithms to restore the image reconstruction algorithm to calculate the General Assembly led to the long imaging time, the program using a modified block processing to shorten the time)

基于matlab的CT图像处理，提取感兴趣的区域，并染色。计算面积(Based on matlab CT image processing, extract the region of interest and dyed. Calculate the area)

说明：  基于各向异性扩散方程的一款经典的ＳＡＲ图像相干斑噪声抑制的算法实现，可以直接用的，效果很好！(Anisotropic diffusion equation based on a classic SAR image speckle noise reduction algorithm can be directly used, very good!)

基于主成分分析的遥感图像融合算法，融合结果质量较好。(The fusion algorithm of remote sensing image based on principal component analysis has better fusion result.)