Description: 手写数字识别,提取数字骨架,划直线和该骨架相交,取交点数和数字端点为特征向量.建立特征库进行匹配-Handwritten numeral recognition, extraction digital skeleton designated intersection of a straight line and the skeleton, cross check points and digital endpoint for the eigenvector. To establish the characteristics of the Treasury match Platform: |
Size: 1024 |
Author:黄超 |
Hits:
Description: matlab实现hough变换直线提取，不直接用hough算子，应用二值化图像-to achieve a straight line hough transform matlab extraction, does not directly hough operator, the application of binary image Platform: |
Size: 1024 |
Author:sulin |
Hits:
Description: 图像特征识别通过神经网络训练方法实现，是学习参考的好资料-you will need first to run the file that name "charGUI4.fig" and on the right side there is a load training set where you have to train the system first, run any data that is should be from 1 to 9 and 0 like ( 1 2 3 4 5 5 6 7 8 9 0) as many line as you want so if you have a traning data that is 10 columns by 5 lines then you have to assign that to the small boxes that name column and line. right now keep the#words as is because I plan to use it but I change my mind so that it is automatically count the word for you.
after you train the system then load any image test, from the "Load Image" once you upload the image then choose the "select" and then go to the uploaded image and select whatever you want to recognize, after that select "crop" to crop the exact part that you want to recognize after that selcet "Features Extraction" to extract the features after that choose the "recognize" to see the results up on the result box.
P.S. keep in mind that the program has been tested on the Platform: |
Size: 709632 |
Author: 反对撒 |
Hits:
Description: 采用beamlet变换方法，实现图像线特征提取，以此代码为基础的文章已被核心期刊录用-Beamlet transform methods used to achieve the image line feature extraction, this code is based on the core of the article has been hired Journals Platform: |
Size: 40960 |
Author:徐晨 |
Hits:
Description: 边缘检测1.制作一张包括色块、线条的单色背景图片，先对其作低通滤波产生一幅色块和线条边缘模糊的降质图片待处理，采用任意二种边缘检测算法检测待处理图片中的色块和线条的边缘，得到二值化的处理结果图。从结果图中提取色块和线条的边界坐标值，与实际生成原始图像时采用的真实坐标数据作比较，对产生的检测误差作分析。2.拍摄一张包含待检测物体的黑白或者彩色照片，试采用一种边缘检测的算法做待检测物体的自动提取，对生成的结果作分析。-Edge Detection 1. To produce a including blocks of color lines color the background picture, the first of its low-pass filter for a color blocks and lines produced lower quality images fuzzy edges to be processed, using any two edge detection algorithm to detect when processing in the image blocks of color and line the edge of the two values are the result of the treatment plan. Extracted from the results map the boundary blocks of color and line coordinates, the original image and the actual generated coordinate data used to compare the true, and on the detection of error for analysis. 2. Take a test to be included black and white or color photographs of objects, try using a edge detection algorithm on automatic extraction of objects to be detected, the results generated for analysis. Platform: |
Size: 661504 |
Author:tosh |
Hits:
Description: hough变换识别直线，识别圆，提取圆心半径-hough transform line identification, identification circle, the radius of the center extraction Platform: |
Size: 6144 |
Author:武西 |
Hits:
Description: 这是一个使用了Gabor特征提取和人工智能的人脸检测系统源代码
使用步骤：
1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱)
2. 找到"main.m"文件
3. 命令行中运行它
4. 点击"Train Network"，等待程序训练好样本
5. 点击"Test on Photos"，选择一个.jpg图片，识别。
6. 等待程序检测出人脸区域
createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m-This is a use of the Gabor feature extraction and artificial intelligence source code of face detection system using the steps: 1. Copy all files to the MATLAB working directory (sure you have installed the Image Processing Toolbox, and artificial intelligence toolbox) 2. Found " main.m " file 3. the command line, run it 4. Click the" Train Network " , waiting for a good sample of the training program 5. Click the" Test on Photos " , select a. jpg image recognition. 6. Wait for the program detects the face region createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m Platform: |
Size: 140288 |
Author:郑碧波 |
Hits:
Description: 是一个很好的图像拼接程序，先用sift算法提取两幅图片的特征点再用算法筛去错配点，把匹配点用线连接起来，注意：主函数是match.m，运行主函数后在命令框输入运行match( image1.jpg , image2.jpg )-Is a good image stitching program, the first two pictures with the sift algorithm feature extraction algorithm and then weed out the wrong point with point, the match point with a line linking Note: The main function is match.m, after running the main function Enter the run command box match (' image1.jpg' , ' image2.jpg' ) Platform: |
Size: 1604608 |
Author:左涛 |
Hits:
Description: matalab曲线拟合，使得对提取得到的黑线曲线更好的拟合。-Matalab curve fitting, which makes the extraction of the curve of the black line get better fitting Platform: |
Size: 185344 |
Author:于东 |
Hits:
Description: 本文设计了一套指纹图像预处理和指纹特征提取算法, 利用方向滤波的方法对原始图像进行增强,使用改进的细化算法进行细化, 最后基于脊线跟踪的方法, 用改进的算法更为简洁而有效地避免了各种伪特征。设计的算法经Matlab 实现, 实验效果良好。-Designed a fingerprint image and fingerprint feature extraction algorithm using directional filtering the original image enhancement, improved thinning algorithm refinement, the last ridge line tracking method, the improved algorithm is more simple and effective way to avoid the pseudo-characteristic. Design algorithm with Matlab, the experiment well. Platform: |
Size: 457728 |
Author:agui |
Hits:
Description: 基于Matlab程序，对心脏血管中心线进行提取，并实现心血管分割-Based on the Matlab program, the heart center line extraction, and the realization of Cardiovascular Division Platform: |
Size: 23552 |
Author:gerry |
Hits:
Description: 1. 在GUI中，实现图像的阈值分割（交互式、迭代法）、区域生长。
2. 在GUI中，，实现二值图像的膨胀、腐蚀, 比较'结构元素类型为：square,line, diamond, disk等的区别。
3. 在GUI中，实现二值图像的开运算、闭运算。
4. 在GUI中，实现二值图像的形态学应用：
边界抽取 (boundary extraction)
区域填充 (region filling)
细化 (thinning)
粗化 (thickening)
骨架 (skeletons)
修剪 (pruning)(1., in GUI, the image threshold segmentation (interactive, iterative), region growth is achieved.
2. in GUI, to achieve expansion and corrosion of two valued images, compare the types of structural elements: square, line, diamond, disk and so on.
3. in GUI, to achieve two valued images on the open, closed operations.
4. morphological applications of two valued images are implemented in GUI:
Boundary extraction (boundary, extraction)
Zone fill (region, filling)
Refinement (thinning)
Roughening (thickening)
Skeleton (skeletons)
Trim (pruning)) Platform: |
Size: 800768 |
Author:Jamesma
|
Hits:
Description: Future line prediction, error analysis, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition. Platform: |
Size: 9216 |
Author:khrmq
|
Hits:
Description: 边缘提取：边缘检测的基本思想首先是利用边缘增强算子，突出图像中的局部边缘，然后定义象素的“边缘强度”，通过设置阈值的方法提取边缘点集。由于噪声和模糊的存在，监测到的边界可能会变宽或在某点处发生间断。因此，边界检测包括两个基本内容：
（1）用边缘算子提取出反映灰度变化的边缘点集。
（2）在边缘点集合中剔除某些边界点或填补边界间断点，并将这些边缘连接成完整的线。(Edge extraction: the basic idea of edge detection is to use edge enhancement operator to highlight the local edge of image, and then define the edge intensity of pixels, and set the threshold method to extract the edge point set. Due to the presence of noise and blurring, the monitored boundaries may be widened or discontinuous at some point. Therefore, the boundary detection includes two basic contents:
(1) edge operators are used to extract the set of edge points that reflect the change of gray level.
(2) eliminate some boundary points in the set of edge points or fill the breakpoints between the boundaries, and connect these edges into a complete line.) Platform: |
Size: 1024 |
Author:Schonien
|
Hits:
Search - line extraction matlab