ImproveCanny

基于小波域的隐马尔可夫树模型的图像去噪方法的实现代码。(Based on the Wavelet Domain Hidden Markov Tree Model Image Denoising realize the code.)

应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:Program FilesAnaconda3Libsite-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the new name "pydensecrf" Puting this file "pydensecrf" in this directory "C:Program FilesAnaconda3Libsite-packages" cd examples/ python inference.py im1.png anno1.png out.png)

本代码比较全面地给出了图像边缘检测常用的各种算法的代码，包括：基于LoG算子边缘检测、基于Canny算子的边缘检测、基于SUSAN算子的边缘检测、基于小波变换模极大值的边缘检测、利用有限冲击响应来提取不同方向边缘、采用灰度形态学膨胀和腐蚀，对图像进行单尺度和多尺度的形态学边缘检测(This code gives a more comprehensive variety of commonly used edge detection algorithm code, including: LoG operator based on edge detection, based on Canny operator edge detection based on SUSAN operator edge detection based on wavelet transform modulus maxima edge detection values ​ ​ using finite impulse response to extract edges in different directions, using grayscale morphological dilation and erosion, the image of the single-scale and multi-scale morphological edge detection)

编程实现了抑制sar图像相干斑噪声的精致lee滤波算法，效果很好(refined lee)

说明：  CxImage是一款免费的、开源的、功能强大的图形处理库。 跨平台，支持windows、linux等；支持BMP、GIF、ICO、TGA、JPEG、PCX、PNG、TIFF、MNG、RAS等多种图像格式；支持格式转换、图像处理、几何变换等；最重要的是使用非常简单。此为VC6修正版(CxImage is a C++ image processing library. It can load, save, display, transform images in a very simple and fast way, with transparency, multiple layers and selections, support for BMP GIF JPG PNG MNG TIF ICO TGA PCX J2K JBG RAS PNM RAW PSD.)

vc+matlab的混合编程三维图像方面的。很有用。还不错。(Hybrid programming to achieve three-dimensional image reconstruction )

刚体配准方法中，通常使用互信息函数作为相似性测度，此类提供计算的封装。(rigid registration method, which is commonly used as a mutual information function similar measure, the provision of such calculation package.)

matlab gui图像处理，很全很实用，值得大家慢慢学习(matlab gui image processing, it is all very practical, worth learning slowly)

说明：  改进LBP纹理提取以及纹理分类，主要包括三部分测试：纹理提取、分类和分割(Improved LBP texture extraction and texture classification, including three parts of testing: texture extraction, classification and segmentation)

SIFT和旋转不变LBP 相结合的图像匹配算法(数字图像处理/图像匹配）(SIFT and LBP combined rotation invariant image matching algorithm (digital image processing/image matching))