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[Develop Toolsximage

Description: This ximage.h file, it is very useful for image processing and cbir system.
Platform: | Size: 7380 | Author: sun | Hits:

[Special Effects23332

Description: 一种基于HSV颜色空间的图像检索技术 随着大规模数字图像库的出现,基于内容的图像检索技术(CBIR)应运而生。而颜色特征是在图像检索中应用最为广泛的视觉特征,因此设计并实现一个基于颜色的图像检索系统具有一定的前沿性和实用性-an HSV color space-based image retrieval technology with the massive digital image library there. Content-Based Image Retrieval (CBIR) came into being. And color features in image retrieval application of the most extensive visual characteristics, Therefore the design and realization of a color-based image retrieval system with a front and practicality
Platform: | Size: 94208 | Author: guoxiaoyong | Hits:

[Special Effectsroispline

Description: 基于spline的图像感兴趣区域提取,可用于基于区域的图像检索系统中。-spline- based region of interest image extraction, can be used for regional image retrieval system.
Platform: | Size: 3072 | Author: anzi | Hits:

[Booksximage

Description: This ximage.h file, it is very useful for image processing and cbir system.
Platform: | Size: 7168 | Author: sun | Hits:

[Special Effectsweyel

Description: 基于内容图像检索的程序 对于做CBIR研究的朋友有帮助,起码做为一个试验系统没有问题的。 -Content-Based Image Retrieval CBIR procedure to do research for a friend has to help, at least as a test system without problems.
Platform: | Size: 7087104 | Author: xiaowei | Hits:

[Picture Viewerimagepro

Description: 基于内容的图像检索系统 对两幅图像的特征匹配 CBIR系统 -Content-based image retrieval system to the two images of the feature matching CBIR system
Platform: | Size: 655360 | Author: 王新胜 | Hits:

[Linux-Unixgift-0.1.14.tar

Description: The GIFT (the GNU Image-Finding Tool) is a Content Based Image Retrieval System (CBIRS: http://en.wikipedia.org/wiki/CBIR). It enables you to do Query By Example (QBE: http://en.wikipedia.org/wiki/QBE) on images, giving you the opportunity to improve query results by relevance feedback. For processing your queries the program relies entirely on the content of the images, freeing you from the need to annotate all images before querying the collection.
Platform: | Size: 793600 | Author: yudaxia | Hits:

[Graph programCBIR

Description: 用matlab实现的基于颜色特征的图像检索系统。-Using matlab to achieve the color-based Image Retrieval System.
Platform: | Size: 4038656 | Author: 王春 | Hits:

[matlabCBIR_System_in_MATLAB

Description: System CBIR in Matlab
Platform: | Size: 23552 | Author: Jan | Hits:

[matlabborder

Description: border segmentation for CBIR system using matlab
Platform: | Size: 50176 | Author: sarhanah | Hits:

[matlabcolor

Description: border segmentation for CBIR system using matlab
Platform: | Size: 520192 | Author: sarhanah | Hits:

[Software EngineeringCBIR_AVE_RGB

Description: This document related to CBIR - Content Based Image Retreival System. Average RGB concept is used.-This document related to CBIR- Content Based Image Retreival System. Average RGB concept is used.
Platform: | Size: 59392 | Author: rajan | Hits:

[Special EffectsCBIR

Description: CBIR system....content based image retrieval system project folder
Platform: | Size: 7271424 | Author: ganga | Hits:

[Special EffectsCBIR-FOR-ENDOSCOPIC-IMAGES

Description: Content-based medical image retrieval is now getting more and more attention in the world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently required. Methods: Based on the study of single feature image retrieving techniques, including color clustering, color texture and shape, a new retrieving method with multi-features fusion and relevance feedback is proposed to retrieve the desired endoscopic images. Results: A prototype system is set up to evaluate the proposed method’s performance and some evaluating parameters such as the retrieval precision & recall, statistical average position of top 5 most similar image on various features, etc. are therefore given. Conclusions: The algorithm with multi-features fusion and relevance feedback gets more accurate and quicker retrieving capability than the one with single feature image retrieving technique due to its flexible feature combination and interactive relevance feedback.
Platform: | Size: 359424 | Author: gokul/goks | Hits:

[Search Engine04

Description: 本文以基于内容的图像检索为主,对检索系统的关键技术特别是图像特征提 取方面做了深入的研究。提出了一种结合图像颜色特征与图像语义特征的图像检 索新方法,克服了单纯的基于内容图像检索未曾考虑图像内容特征与其语义之间 鸿沟的缺点。-This dissertation briefly summarizes CBIR system,and researches some key techniques of the image retrieval which specially focuses on feature extraetion.In this paper we proposes a new method for image retrieval,it makes use of both content feature and semantic feature of images.
Platform: | Size: 2089984 | Author: 武燕 | Hits:

[Special EffectsCBIR

Description: 毕业设计做的一个图像检索系统,实现基于颜色直方图、累加直方图的检索-Graduation to do an image retrieval system, color-based histogram, cumulative histogram of the retrieval
Platform: | Size: 4096 | Author: 林中正 | Hits:

[Software EngineeringGeneral-CBIR-sys-structure.JPG

Description: The visual architecture of CBIR system
Platform: | Size: 18432 | Author: hermes | Hits:

[OtherCBIR-System

Description: this matlab code for content based image retri system (CBIR) system implemented in corel -this is matlab code for content based image retri system (CBIR) system implemented in corel
Platform: | Size: 189440 | Author: ady | Hits:

[matlabcbires

Description: cbir system implimented using colour feature
Platform: | Size: 3072 | Author: pandu naik | Hits:

[Special EffectsCBIR-system

Description: 随着计算机科技的发展,图像检索的应用也越来越成熟,根据检索性质可分为两类:基于文本的图像检索和基于内容的图像检索。本论文通过研究基于内容的图像检索中的几个核心算法,用于聚类分析的K-means算法,通过haar小波变换来提取图像底层视觉特征,以及使用F-范数理论来进行相似性度量,来设计一个离线的图像检索系统。(With the development of computer technology, the application of image retrieval is more and more mature. According to the nature of retrieval, they can be divided into two categories: text based image retrieval and content based image retrieval. This paper studies the core algorithm in content based image retrieval, K-means algorithm for clustering analysis, through Haar wavelet transform to extract image visual features, and using F- norm theory to similarity measure, image retrieval system to design an offline.)
Platform: | Size: 3736576 | Author: 笨笨熊笨笨 | Hits:
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