Description: 基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等
相似度：马氏距离，欧氏距离等
相关反馈：机器学习方法，如SVM，神经网络等
检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 160149 |
Author:耿上 |
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Description: 这个程序是从图像中分割和提取物体
从车牌上提取车牌内容-the procedure is separate from the image and extract objects from the license plate extraction plates content Platform: |
Size: 20359 |
Author:李允 |
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Description: 基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等
相似度：马氏距离，欧氏距离等
相关反馈：机器学习方法，如SVM，神经网络等
检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 159744 |
Author:耿上 |
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Description: 这个程序是从图像中分割和提取物体
从车牌上提取车牌内容-the procedure is separate from the image and extract objects from the license plate extraction plates content Platform: |
Size: 20480 |
Author:李允 |
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Description: 基于内容的图像检索主颜色直方图的提取，从图像的获取到直方图现实到特征的提取，最后根据图像检索出与所给图像最相似的图像。-Content-based image retrieval dominant color histogram extracted from the images to get to the real histogram feature extraction, the last based on the image to retrieve the image with the most similar images. Platform: |
Size: 7168 |
Author:Jennifer |
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Description: 1、 从网上下载人脸图像，构建人脸训练数据库和测试数据库，采用K-L变换进行特征脸提取，并实现人脸识别。通过K-L变换在人脸识别中的应用，加深对所学内容的理解和感性认识。-1, face image downloaded from the Internet, the construction of the training and test database face database, using K-L transform features face extraction, and realize the face recognition. Through k-l transform in face recognition application, deepen the understanding of the content of study and perceptual knowledge. Platform: |
Size: 3130368 |
Author:QUAN RONG |
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Description: 基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 164864 |
Author:EmilyFu |
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Description: 本书主要讲述了Visual c++数字图像处理典型算法及实现。全书共12章，分别介绍了数字图像编程基础、图像感知与获取、图像的点运算、几何变换、正交变换、图像增强、腐蚀算法、膨胀算法、细化算法、边缘检测与提取、轮廓跟踪、图像分割、图像配准、图像复原和图像的压缩编码技术，对每种常用的数字图像处理方法，本书都提供了完整的源代码。本书内容丰富，叙述详细，实用性强，适合于数字图像处理工作者阅读参考。
目录
第1章 Visual C++数字图像编程基础
1．1数字图像处理概述
1．2图像和调色板
1．2．1 图像
1．2．2调色板
1．2．3色彩系统
1．2．4灰度图
1．3 GDI位图
1．3．1 从资源中装入GDI位图
1．3．2伸缩位图
1．4与设备相关位图
1．5设备无关位图(DIB)
1．5．1 BMP文件中DIB的结构
1．5．2 DIB访问函数
1．5．3构造DIB类
1．5．4使用DIB读写BMP文件示例
-The book focuses on Visual c++ typical digital image processing algorithm and achieve. 12 book chapters, describes the basis of digital image programming, image perception and acquisition, image point operations, geometric transformations, orthogonal transformation, image enhancement, corrosion algorithm expansion algorithm, refinement algorithm, edge detection and extraction, contour tracking , image segmentation, image registration, image restoration, and image compression encoding technology, for each common digital image processing methods, this book provides a complete source code. The book is rich in content, narrative detail, practical, suitable to read reference in digital image processing workers.
Directory
Chapter 1, Visual C++ digital image programming foundation
1.1 Digital Image Processing Overview
1.2 image and color palette
1.2.1 Image
1.2.2 palette
1.2.3 Color System
1.2.4 grayscale
1.3 GDI bitmap
1.3.1 loaded GDI bitmap from the resource
1.3.2 stretching bit Platform: |
Size: 91136 |
Author:杨天表 |
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Description: 随着现代社会的发展，信息的形式和数量正在迅猛增长。其中很大一部分是图像，图像可以把事物生动地呈现在我们面前，让我们更直观地接受信息。同时，计算机已经作为一种人们普遍使用的工具为人们的生产生活服务。从图像中提取文字属于信息智能化处理的前沿课题，是当前人工智能与模式识别领域中的研究热点。由于文字具有高级语义特征，对图片内容的理解、索引、检索具有重要作用，因此，研究图片文字提取具有重要的实际意义。又由于静态图像文字提取是动态图像文字提取的基础，故着重介绍了静态图像文字提取技术。(With the development of modern society, the form and quantity of information are growing rapidly. Which is a large part of the image, the image can be vividly presented in front of us, let us more intuitive to accept the information. At the same time, the computer has served as a popular tool for people's production and life services. Extracting the text from the image belongs to the forefront of information intelligent processing, which is the research hotspot in the field of artificial intelligence and pattern recognition. Because the text has high semantic features, it has important effect on the understanding, index and retrieval of picture content. Therefore, it is of great practical significance to study the extraction of picture text. And because the static image text extraction is the basis of dynamic image extraction, it emphasizes the static image text extraction technology.) Platform: |
Size: 211968 |
Author:lj557
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Search - content extraction from image