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Titlebook: Intelligent Image Databases; Towards Advanced Ima Yihong Gong Book 1998 Springer Science+Business Media New York 1998 Textur.database.image

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发表于 2025-3-21 17:33:04 | 显示全部楼层 |阅读模式
书目名称Intelligent Image Databases
副标题Towards Advanced Ima
编辑Yihong Gong
视频video
丛书名称The Springer International Series in Engineering and Computer Science
图书封面Titlebook: Intelligent Image Databases; Towards Advanced Ima Yihong Gong Book 1998 Springer Science+Business Media New York 1998 Textur.database.image
描述.Intelligent Image Databases: Towards Advanced ImageRetrieval. addresses the image feature selection issue in developingcontent-based image retrieval systems. The book first discusses thefour important issues in developing a complete content-based imageretrieval system, and then demonstrates that image feature selectionhas significant impact on the remaining issues of system design. Next,it presents an in-depth literature survey on typical image featuresexplored by contemporary content-based image retrieval systems forimage matching and retrieval purposes. The goal of the survey is todetermine the characteristics and the effectiveness of individualfeatures, so as to establish guidelines for future development ofcontent-based image retrieval systems. ..Intelligent Image Databases: Towards Advanced Image Retrieval.describes the Advanced Region-Based Image Retrieval System (ARBIRS)developed by the authors for color images of real-world scenes. Theyhave selected image regions for building ARBIRS as the literaturesurvey suggests that prominent image regions, along with theirassociated features, provide a higher probability for achieving ahigher level content-based image retrieval system
出版日期Book 1998
关键词Textur; database; image databases
版次1
doihttps://doi.org/10.1007/978-1-4615-5479-0
isbn_softcover978-1-4613-7503-6
isbn_ebook978-1-4615-5479-0Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1998
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Survey of Contemporary Content-Based Image Retrieval Systems,ms. For each class of image features, we describe the typical system formation, examine representative systems incorporating the features, and reveal the characteristics, the pros and cons of the image features for content-based image retrieval. Finally, we summarize the literature survey by indicat
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Indexing Structures for Image Databases,ure spaces, define similarity metrics on those feature spaces, and retrieve images in an order similar to the user-provided reference images. With this system paradigm, images are represented as points in the multi-dimensional feature space, and a distance between two feature points, either Euclidea
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The Texture Detection Subsystem,tected from images, and discuss the optimal image features to use for accomplishing the texture detection. Then we describe the texture detection algorithm using the selected image features, and explain the ideas underlying the composition of the method. Finally, we conclude the chapter by presentin
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The Region-Based Subsystem,gion-Based Subsystem, we provide a full description of the method. This includes the discussion of the optimal color space for image segmentation, the derivation of the mathematical model for handling images under non-uniform illumination, and the segmentation algorithm based on the mathematical mod
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Yihong Gongus in dieses Land bis in verschwimmende Tiefen; aber es ist doch ein wesentlich andrer Eindruck, als der, welchen wir empfangen, wenn wir auf eine unsrer irdischen Hügellandschaften hinausschauen. Wir vermissen hier jede Perspektive; wir sehen wohl ein Nebeneinander der Dinge, aber empfinden nichts
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