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Content-based visual information retrieval (CBVIR) or content-based image retrieval (CBIR) has been one on the most vivid research areas in the field of computer vision over the last 10 years. The availability of large and steadily growing amounts of visual and multimedia data, and the development of the Internet underline the need to create thematic access(More)
Rationale and Objectives. Picture archiving and communication systems (PACS) have the vocation to manage all medical images acquired within the hospital. To address the various situations encountered in the imaging specialties, the traditional architecture used for the radiology department has to evolve. Materials and Methods. We present our preliminarily(More)
Content based image retrieval (CBIR) systems analyze the visual content and find images in the database. this paper has been propose a novel approach to CBIR system based on prime's histogram of the color image. This paper describe a project that implements by using Matlab and test three techniques depend on the simple color histogram based search and(More)
The main intention of content based medical image retrieval (CBMIR) is to efficiently retrieve medical images that are visually similar to a query image. Medical images are usually retrieved on the basis of low level and high level features. This work deals with the concept of texture based spine MRI image retrieval in the wavelet compressed domain. We use(More)
Content Based Image Retrieval (CBIR) is very much sought after field in the area image retrieval. CBIR finds applications in areas such as web searching, crime detection, military, intellectual property and medical diagnosis. With the advancement of medical imaging modalities, focus on the diagnosis has shifted from physician centric to hospital based(More)
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