SWT

Gray Level Edge Thinning Method Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.

说明：  基于图像灰度的图像拼接。由两幅内容有重叠的图像拼接成一幅视野更大的图像。(Image mosaic based on image gray scale. Content from the two overlapping images together into a larger image view.)

说明：  经典图论，其中叙述了图论的经典算法等，如最大流、最小割等相关算法。(Classical graph theory, graph theory, which describes the classical algorithms, such as maximum flow, minimum cut, and other related algorithms.)

实现文章“Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries”中的降噪算法(Realize the article " Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries" in the noise reduction algorithm)

说明：  实现峰值信噪比的算法，用于判断图片质量的好坏！十分有用！(Achieve peak signal-to-noise ratio (PSNR) algorithm for judging image quality! Very useful!)

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)

此程序为袁晓彤CVPR论文“基于多任务联合稀疏表示的的视觉分类”的主代码部分(The program for Yuan Xiaotong CVPR paper " visual classification with Muti-task joint sparse representation" main code of the parts)

给出了偏微分方程的径向基函数配点法的数值解法，进行了数值模拟，并且给出了图形(The numerical solution of the radial basis function with partial differential equation method, numerical simulation, and gives the graphic )

对于原始数据进行插值并抽取，从这个过程中将数据平滑化，得到理想的效果。(The original data for interpolation and extraction, data from this process will be smoothed to get the desired results.)

利用turbopixel的超像素图像分割方法，可以显示不同块的颜色。(This is a mex c and matlab code, which uses the turbopixel to segment the object from the image. )