tuxiang

利用gabor滤波器方法提取视网膜血管，在提取之前进行预处理。gabor滤波器参数选择的是3个角度，12个方向(Gabor filter method is utilized to extract the retinal blood vessels, preprocessing before extraction. Gabor filter parameter selection are three angles, 12 direction )

说明：  基于遗传算法的图像融合，应用于求解图像融合的常用算法，matlab编写 ，很好的实现了，希望 对大家学习 有用(GA,Image Fusion Based on Genetic Algorithms)

burg距离方位分别外推超分辨算法，实现对稀疏数据的超分辨成像。(burg extrapolation distance and orientation were super-resolution algorithm to achieve the super-resolution imaging sparse data.)

传统的超像素分割方法，亲测能用。可以进行后续的使用(The traditional super pixel segmentation method can be used for affinity measurement.)

读取一幅图像，对其进行DCT高通、低通滤波，输出处理后图像(Read an image, do the DCT high-pass, low-pass filtering, output processed image .)

检测图片中的角点，将图片读入后转换为灰度图以便处理。 2.通过用Dx=[-1,0,1;-2,0,2;-1,0,1]和灰度图片的矩阵卷积得到灰度图片在x方向上的导数矩阵Ix，矩阵中（i，j）处的元素代表灰度图片矩阵（i，j）处在x方向的导数Ix(Detection of corners in a picture)

WPF动画实例 Animation

读取RAW格式文件，将其转换为BMP格式文件并存储，主要实现灰度图像的转换(Read the RAW format, convert it to BMP format file and stored, mainly to achieve the conversion of grayscale images)

说明：  python实现的运用brief算法提取特征点的图像拼接(The implementation of Python using brief algorithm to extract feature points of image mosaic)

图着色问题（Graph Coloring Problem, GCP）又称着色问题，是最著名的NP-完全问题之一。路线着色问题是图论中最著名的猜想之一。(Graph coloring problem (Graph Coloring Problem, GCP), also known as coloring problem, is the most famous NP-complete problems. Line graph coloring problem is one of the most famous conjecture.)