Description: The aim of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extraction, and classification. This program use Image Processing Toolbox to get it.
For more information, visit: http://www.matpic.com
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Size: 50325 |
Author:ruan |
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Description: 摘要：在对粮虫图像处理过程中，介绍了Matlab图像处理工具箱中的函数，给出了图像处理与分析的技术实现, 边缘检测及轮廓提取, 通过形态学方法进行图像特征抽取与分析，达到了比较好的效果.-Abstract : In the right grain pest image processing, introduced the Matlab toolbox image processing functions, given image processing and analysis technology, edge detection and contour extraction, through morphological methods for image analysis and feature extraction, reached a relatively good results. Platform: |
Size: 356036 |
Author:蓝婧 |
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Description: 摘要：在对粮虫图像处理过程中，介绍了Matlab图像处理工具箱中的函数，给出了图像处理与分析的技术实现, 边缘检测及轮廓提取, 通过形态学方法进行图像特征抽取与分析，达到了比较好的效果.-Abstract : In the right grain pest image processing, introduced the Matlab toolbox image processing functions, given image processing and analysis technology, edge detection and contour extraction, through morphological methods for image analysis and feature extraction, reached a relatively good results. Platform: |
Size: 355328 |
Author:蓝婧 |
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Description: Gabor 滤波器工具箱，包括各种Gabor滤波器的函数，可用于图像滤波处理，特征提取，如人脸，掌纹，指纹识别等。-Gabor filter toolbox, including Gabor filter function, can be used for image filtering processing, feature extraction, such as human faces, palm prints, such as fingerprint recognition. Platform: |
Size: 296960 |
Author:陈浩 |
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Description: The aim of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extraction, and classification. This program use Image Processing Toolbox to get it.
For more information, visit: http://www.matpic.com
Platform: |
Size: 50176 |
Author:ruan |
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Description: matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification)
PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others Platform: |
Size: 74752 |
Author:大长今 |
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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 |
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Description: 使用Gabor特征提取和神经网络的人脸检测，里面带有人脸和非人脸的训练图库，检测效果很好。
运行该程序：
1 -所有文件和目录复制到MATLAB的工作文件夹 *-为了运行程序，你必须有图像处理和神经网络工具箱
2 - 找到名为“main.m”的文件
3 - 双击这个文件或在命令窗口中的“主”类型
4 - 将显示一个菜单。点击“火车网”，并等待，直到程序完成培训
5 - 点击“照片上的测试”。将出现一个对话框。选择一个。JPG图片
6 - 等待，直到程序检测到一些面孔
-Gabor feature extraction and neural network face detection, which with a human face and non-face training Gallery detection works well. Run the program: 1- all files and directories copied to MATLAB work folder*- In order to run the program, you must have image processing and neural network toolbox- find a file named " main.m" - double-click on the file or " master" in the command window type- will display a menu. Click on the train network, and wait until the process is complete training- Click the photo test. A dialog box appears. Select one. JPG picture- wait until the program detects some faces Platform: |
Size: 19137536 |
Author:朝颜 |
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Description: 图像处理 并行处理 matlab Since images can be represented by 2D or 3D matrices and the MATLAB processing engine
relies on matrix representation of all entities, MATLAB is particularly suitable for implemen‐
tation and testing of image processing workflows. The Image Processing Toolbox
™
(IPT)
includes all the necessary tools for general-purpose image processing incorporating more than
300 functions which have been optimised to offer good accuracy and high speed of processing.
Moreover, the built-in Parallel Computing Toolbox
™
(PCT) has recently been expanded and
now supports graphics processing unit (GPU) acceleration for some functions of the IPT.
However, for many image processing applications we still need to write our own code, either
in MATLAB or, in the case of GPU-accelerated applications requiring specific control over
GPU resources, in CUDA (Nvidia Corporation, Santa Clara, CA, USA).-the first part is dedicated to some essential tools of the IPT that can be used in
image analysis and assessment as well as in extraction of useful information for further
processing and assessment. These include retrieving information about digital images, image
adjustment and processing as well as feature extraction and video handling. The second part
is dedicated to GPU acceleration of image processing techniques either by using the built-in
PCT functions or through writing our own functions. Each section is accompanied by MAT‐
LAB example code. Platform: |
Size: 629760 |
Author:阿新 |
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Search - FEATURE EXTRACTION TOOLBOX IN IMAGE PROCESSING