利用edge()函数提取图像轮廓,绘制出对象的边界和提取边界坐标信息,matlab实现代码如下: close all;clear all;clc; % 提取图像轮廓,提取图像边缘 I = imread('yifu.jpg'); c = im2bw(I,graythresh(I)); figure; subplot(131);imshow(I); c = flipud(c); %实现矩阵c上下翻转 b = edge(c,'canny'); [u,v] = find(b); %返回边界矩阵b中非零元
clc;clear; fileno=1; for i=1:fileno fid2=fopen('4B1T_wb_eq.txt','w'); %save data to 'logfile' in Matlab current working directory fid=fopen('4B1T_wb_eq.log','r'); %read NAMD log file fid=fopen([loadpath groupdir(i).name],'r'); while(~feof(fid)) newl=
把视频抽帧,转化成图片 我的代码如下,成功实现clc;clear;videofilename='k:\GraduationWork\Resource\video.wmv'; %where you put the video filevideo=VideoReader(videofilename);frame_number=floor(video.Duration*video.FrameRate);while hasFrame(video) image_name=strcat('e:\gradua
物体识别:SIFT 特征: 人脸识别:LBP 特征: 行人检测:HOG 特征: 0. 常见手工设计的低级别特征 manually designed low-level features 语音:高斯混合模型和隐马尔可夫模型: Gabor features for : texture classification Local Binary Patterns (LBP) for: face classification. SIFT and HOG features for: object recogn