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网路摄像机的应用，使得图像监控技术有了一个质的飞跃。首先，网络的综合布线代替了传统的视频模拟布线，实现了真正的三网(视频、音频、数据)合一，网络摄像机即插即用，工程实施简便，系统扩充方便；其次，跨区域远程监控成为可能，特别是利用互联网，图像监控已经没有距离限制，而且图像清晰，稳定可靠；再者，图像的存储、检索十分安全、方便、可异地存储，多机备份存储以及快速非线性查找等。-Network camera applications, image monitoring technology makes a
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This paper focuses on the needs of developing an automated Digital Library Management system .The purpose is to automate the task of analyzing data containing in raster image documents for the purpose of intelligent information retrieval in digital l
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CBIR-Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is a
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Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is an
i
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Background of Content Based Image Retrieval(CBIR)
Analysis of Previous Work
Results of Existing Methods
Scalable Image Indexing and Retrieval
Proposed Indexing System(overview)
wavelet transform and HSL color conversion
Feature Space(Ener
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survey on content based medical image retrieval system it contains pre processing feature extraction and selection methods
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毕业设计做的图像颜色检索的系统，希望对你有帮助吧-raduation image color do a retrieval system, you want to help it
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Nowadays, Content-Based Image Retrieval (CBIR) is the
mainstay of image retrieval systems. To understand the query
semantics and users expectations so as to communicate faithful
results in terms of accuracy, Relevance Feedback (RF) was
incorp
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the demand for automatically recognizing and retrieving medical image for screening,reference and management is growing faster than ever.In this paper present an intelligent content based image retrieval system called I-Browsewhich integrate both ico
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We review recent advances in image retri . The two fundamental
components of a retri system, representation and learning,
are analyzed. Each component is decomposed into its constituent
building blocks: features, feature representation, and sim
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This paper provides a comprehensive survey of the technical achievements in the
research area of image retri , especially content-based image retri , an area that
has been so active and prosperous in the past few years. The survey includes 100+
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