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22 results for “CBIR”
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Research ArticleOpen accessIn the keywords2D Object Description with Discrete SegmentsNbhan D. Salih, David C.L. Ngo, Hakim Mellah2D object shape description has gained considerable attention in field of content-based image retrieval (CBIR) and in various applications that concerned with the shapes of objects. Object shape descriptors in the literature are commonly classified into two forms: contour-based and region-based. In this paper we present our contour-based shape representation and description, where the object shape is represented and describe … …Journal of Computer Science, Vol. 2, Issue 7 · 31 Jul 2006 · 6,540 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Fuzzy Neural Approach for Medical Image RetrievalC. Sriramakrishnan, A. ShanmugamImage retrieval based on a query image is necessary for effective and efficient use the information that is stored in medical image databases. Medical Image Retrieval is difficult as not only the localization and directionality of human visual system is to be considered but also the pathological condition. Image identification and segmentation for feature extraction pose a challenge to image … …Journal of Computer Science, Vol. 8, Issue 11 · 8 Sep 2012 · 6,666 accessesView PDFCite
Research ArticleOpen accessIn the keywordsContent Based Medical Image Retrieval with Texture Content Using Gray Level Co-occurrence Matrix and K-Means Clustering AlgorithmsB. Ramamurthy, K. R. ChandranProblem statement: Recently, there has been a huge progress in collection of varied image databases in the form of digital. Most of the users found it difficult to search and retrieve required images in large collections. In order to provide an effective and efficient search engine tool, the system has been implemented. In image retrieval system, there is no methodologies … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractSEVQER: Automatic Semantic Visual Query Builder to Support Intelligent Image Search in Traffic ImagesHui-Hui Wang, Phei-Chin Lim, Yin-Chai Wang et al.Image search is a challenging process in the field of Content Based Image Retrieval (CBIR). Image search-by-example, search-by-keyword and search-by-sketch methods seldom provide user interface that allows user to accurately formulate their search intent easily. To overcome such issue, a novel image search interface-Semantic Visual Query Builder (SeVQer) is proposed as a non-verbal interface which allows user to drag and … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 7,680 accessesView PDFCite
EditorialOpen accessIn the abstractIs Rerum® the New Coley's Vaccine?Marco RuggieroColey's Vaccine and Cancer Immunotherapy Dr. William B. Coley is credited for having been the first to translate the observation of an association between bacterial infections, high fever and cancer remission into a successful cancer treatment. However, it is worth noting that such an association dates back to at least one century before Coley's times; as Wiemann and Starnes from … …American Journal of Immunology, Vol. 13, Issue 2 · 31 May 2017 · 12,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NEW CONTENT BASED IMAGE RETRIEVAL SYSTEM USING GMM AND RELEVANCE FEEDBACKN. Shanmugapriya, R. NallusamyContent-Based Image Retrieval (CBIR) is also known as Query By Image Content (QBIC) is the application of computer vision techniques and it gives solution to the image retrieval problem such as searching digital images in large databases. The need to have a versatile and general purpose Content Based Image Retrieval (CBIR) system for a very large image database has attracted … …Journal of Computer Science, Vol. 10, Issue 2 · 20 Nov 2013 · 6,806 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Medical Image Retrieval using Binary Association RulesAkila, Uma MaheswariIn this study, we propose a content-based medical image retrieval framework based on binary association rules to augment the results of medical image diagnosis, for supporting clinical decision making. Specifically, this work is employed on scanned Magnetic Resonance brain Images (MRI) and the proposed Content Based Image Retrieval (CBIR) process is for enhancing relevancy rate of retrieved images. The pertinent … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,548 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Framework for MRI Image Retrieval Using Curvelet Transform and Euclidean DistanceRajakumar, MuttanContent Based Image Retrieval (CBIR) system supports users to retrieve relevant medical images based on their features. Current content based image retrieval systems are incapable of providing exact results to the users. To address this problem a consistent feature extraction method is required for content based medical image retrieval system to extract similar features from the images. In this study … …Journal of Computer Science, Vol. 9, Issue 3 · 12 Apr 2013 · 6,520 accessesView PDFCite
Research ArticleOpen accessIn the abstractMedical Image Classification Using Genetic Optimized Elman NetworkT. Baranidharan, D. K. GhoshProblem statement: Advancements in the internet and digital images have resulted in a huge database of images. Most of the current search engines found in the web depends only on images that can be retrieved using metadata, which generates a lot of unwanted results in the results got. Content-Based Image Retrieval (CBIR) system is the utilization of computer vision techniques … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 24 Nov 2011 · 7,717 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Color Indexing: An Efficient and Robust Technique for Content-Based Image RetrievalRachid Alaoui, Said Ouatik El Alaoui, Mohammed MeknassiProblem statement: Color Histogram is admitted as a useful representation of features because it is a statistical result and possesses the merits of simplicity, robustness and efficiency. However, the main problem with color histogram indexing is that it doesn't take into account the spatial information. Previous researches have proved that the effectiveness of image retrieval increases when spatial feature of … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,418 accessesView PDFCite