fc5j_EM_matlab

说明：  通过利用“Otsu”方法对图像进行全局阈值分割处理。然后，将灰度图转化成二值图，为获得大豆颗粒计数和大小做准备。调用函数获得图像连通图的数量，并测量标注矩阵中每个标注区域的属性，获得每个标注区域的长度。最后通过寻找每个区域的重心数，即可统计出大豆的个数(The Otsu method is used to segment the image. Then, the gray-scale image is transformed into a binary image to prepare for the soybean particle count and size. Call the function to get the number of connected graphs, measure the attributes of each annotation region in the annotation matrix, and get the length of each annotation region. Finally, the number of soybean can be calculated by finding the number of barycenters in each region)

说明：  将已知的灰度图像逆时针旋转60度，矩阵运算，图像旋转(Rotate the known grayscale image 60 degrees counterclockwise, matrix operation, image rotation)

大名鼎鼎的GN：genesis的相关开发资料 做液晶电视，以及OSD字符叠加以及高级视频控制的朋友可以来看看，这些资料可是要和GN签订保密协议才会给的！(Famous GN: genesis of the relevant information to do the development of LCD TV, as well as the OSD characters, as well as advanced video overlay control friends can look at it, but such information should be entered into confidentiality agreements and GN will give!)

本方法的种子点选取采用Harris角点法，阈值则通过云模型获得，对lena图像进行了较好的分割(The method selected seed points using Harris corner point method, the threshold is obtained through the cloud model, for better lena image segmentation)

说明：  在ENVI中利用此程序可将多光谱影像拆分为单个波段。(In ENVI, multi-spectral images can be divided into single bands by using this program.)

说明：  功用：利用snake算法实现数字图像的边缘检测，图像分割以及特征提取(function : use of snake algorithm for digital image edge detection, image segmentation and feature extraction)

基于图像签名的显著性区域检测，算法很巧妙，好用(computation of a saliency map based on the Image Signature, as described in the following paper: "Image Signature: Highlighting sparse salient regions", Xiaodi Hou, Jonathan Harel, and Christof Koch, IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 194-201 (2012))

说明：  一篇介绍cs理论的文章，以及与图像处理结合的概述(conpressin sensor)

sample illust back image2 mask sample

这是一种彩色图像去雾算法，可以识别物体的轮廓，但是同时也会加强这些轮廓，虽然去雾效果不错，但是会加强轮廓！(This is a color image to fog algorithm can identify the contours of the object, but will also enhance the outlines, although to fog effect is good, but will strengthen the profile!)