gouman

小波滤波器设计和去噪matlab经典程序，给出了简单的滤波器设计，并用其进行了去噪处理(Wavelet filter designing and denosing)

该程序是发表在IEEE上的经典直线提取论文“Extracting Straight Lines”的源代码实现，对计算机视觉、模式识别和信息提取等领域的科学研究人员具有极其重要的参看意义。建议下载学习和适用。(The program is published in the IEEE paper on the classic straight-line extraction " Extracting Straight Lines" the source code implementation of computer vision, pattern recognition and information extraction and other areas of scientific researchers see an extremely important significance. Recommended to download to learn and to apply.)

说明：  分类，纹理特征，提取特征向量，matlab 7.0 原程序，classifer,texture(Classification, texture features, feature vector extraction, matlab 7.0 original procedure, classifer, texture)

基于数学形态学实现振动信号降噪。研究了数学形态滤波器对振动信号在不同类型、不同强度噪声干扰下 的降噪能力，提出了采用开一闭和闭一开组合数学形态滤波器实现旋转机械振动信号降噪处理的方法。通过仿真 计算及实例，检验了形态滤波器的滤波效果，表明数学形态滤波器可以有效剔除脉冲、降低随机噪声干扰，提高 振动信号的信噪比。(The vibration signal noise reduction based on mathematical morphology. Mathematical morphology filter vibration signals in different types, different intensity noise, noise reduction capabilities, proposes using open-closing and close the opening combination of mathematical morphology filter rotating machinery vibration signal noise reduction processing. Simulation and examples, test the morphological filters filtering effect, indicating that the mathematical morphological filter can effectively excluded the pulse, to reduce random noise and improve the signal-to-noise ratio of the vibration signal.)

通过多尺度分解，实现医学图像的图像融合，达到更好的效果(Through multi-scale decomposition, medical image fusion can be achieved to achieve better results.)

cbir matlab code gui, for retri image

图像金字塔分解，输入一幅图像，以及需要分解的层数，可以输出图像的金字塔分解(Image pyramid decomposition)

说明：  WAVEPASTE将系数放在小波分解结构中。(WAVEPASTE Puts coefficients in a wavelet decomposition structure.)

本文提出了一个关于图像抠图的方法，它的抠图效果不错，而且作者的主页上提供了MATLAB的源码，可以看一下。(This paper presents a method on the image matting, matting it well, and the author' s home page provides a MATLAB source code, you can see it.)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)