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Medical Image Description in Content-Based Image Retrieval
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Medical image description is an important problem in content-based medical image retrieval. Hierarchical medical image semantic features description model is proposed according to the main sources to get semantic features currently. Based on it, medical image description model combining low-level features and semantic features is proposed. Experimental
Shao, Hong, Cui, Wen-Cheng, Tang, Li
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Content based image retrieval systems
Proceedings 1999 IEEE Symposium on Application-Specific Systems and Software Engineering and Technology. ASSET'99 (Cat. No.PR00122), 2003The ability to organize and retrieve visual information such as images and video is becoming a crucial problem for specialists and general computer users alike. Because processing visual information requires perceptual abilities not yet known to exist in computational form, the ability to retrieve visual information without human assistance is a rich ...
J.M. Zachary, S.S. Iyengar
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Content based image retrieval systems
Computer, 1995Images are being generated at an ever-increasing rate by sources such as defence and civilian satellites, military reconnaissance and surveillance flights, fingerprinting and mug-shot-capturing devices, scientific experiments, biomedical imaging, and home entertainment systems.
V.N. Gudivada, V.V. Raghavan
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Content-based vessel image retrieval
SPIE Proceedings, 2016This paper describes an approach to vessel classification from satellite images using content based image retrieval methodology. Content-based image retrieval is an important problem in both medical imaging and surveillance applications. In many cases the archived reference database is not fully structured, thus making content-based image retrieval a ...
Satabdi Mukherjee +2 more
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Content-Based Image Retrieval Query Paradigms
2005The proliferation in volume of digital image data has exacerbated the general image retrieval problem, creating a need for efficient storage and flexible retrieval of vast amounts of image data (Chang, 1989). Whilst there have been significant technological advances with image data capture and storage, developments in effective image retrieval have not
Venters, Colin C. +2 more
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Content Based Image Retrieval System
2016In a world of virtualization, where we are having a larger source of images and descriptions available to modern world and based on their requirement it has been utilized from stored information, data center or cloud to larger audience, but at same time rising number of images requires good tools to store the data and retrieve data.
Mohd Omar, Khaleel Ahmad, M.A. Rizvi
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Attentive Content-Based Image Retrieval
2016In this chapter, we show how visual attention can enhance the performance in object recognition. This proposition is inspired by the idea introduced in Neisser (Cognitive psychology. Appleton-Century-Crofts, New York, 1967), which indicates that object recognition in human perception consists of two steps: an “attentional process selects the region of ...
Dounia Awad +2 more
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Content Based Image Retrieval Technique
2008A retrieval methodology which integrates color, texture and shape information is presented in this paper. Consequently, the overall image similarity is developed through the similarity based on all the feature components. Alternatively to known CBIR systems, we compute features only in the finite number of extracted ROIs.
Ryszard S. Choraś +2 more
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Content-based image retrieval methods
Programming and Computer Software, 2009Creation of a content-based image retrieval system implies solving a number of difficult problems, including analysis of low-level image features and construction of feature vectors, multidimensional indexing, design of user interface, and data visualization.
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