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47 results for “image retrieval”
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Research ArticleOpen accessPhrase in the titleWAVELET BASED CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURE EXTRACTION BY GRAY LEVEL COOCURENCE MATRIX AND COLOR COOCURENCE MATRIXJeyanthi Prabhu, Jawahar Senthil KumarIn this study we proposes an effective content based image retrieval by color and texture based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature extraction is done by color Histogram. The texture feature extraction is acquired by Gray Level Coocurence Matrix (GLCM) or Color Coocurence Matrix (CCM). This study provides better result for image retrieval by … …Journal of Computer Science, Vol. 10, Issue 1 · 7 Nov 2013 · 7,627 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCOMPARING THE PERFORMANCE OF SEMANTIC IMAGE RETRIEVAL USING SPARQL QUERY, DECISION TREE ALGORITHM AND LIREMagesh, ThangarajThe ontology based framework is developed for representing image domain. The textual features of images are extracted and annotated as the part of the ontology. The ontology is represented in Web Ontology Language (OWL) format which is based on Resource Description Framework (RDF) and Resource Description Framework Schema (RDFS). Internally, the RDF statements represent an RDF graph which provides the … …Journal of Computer Science, Vol. 9, Issue 8 · 8 Jul 2013 · 6,705 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleContent 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 accessPhrase in the titleBi-Level Classification of Color Indexed Image Histograms for Content Based Image RetrievalKarpagam Vilvanathan, Rangarajan RangaswamyThis dissertation proposes content based image classification and retrieval with Classification and Regression Tree (CART). A simple CBIR system (WH) is designed and proved to be efficient even in the presence of distorted and noisy images. WH exhibits good performance in terms of precision, without using any intensive image processing feature extraction techniques. Unique indexed color histogram and wavelet decomposition … …Journal of Computer Science, Vol. 9, Issue 3 · 26 Apr 2013 · 6,438 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleContent 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 accessPhrase in the titleGraph Based Segmentation in Content Based Image RetrievalP. S. Suhasini, K. S.R. Krishna, I. V.M. KrishnaProblem statement: Traditional image retrieval systems are content based image retrieval systems which rely on low-level features for indexing and retrieval of images. CBIR systems fail to meet user expectations because of the gap between the low level features used by such systems and the high level perception of images by humans. To meet the requirement as a preprocessing step … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,581 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleVideo Retrieval using Histogram and Sift Combined with Graph-based Image SegmentationTran Quang Anh, Pham Bao, Tran Thuong Khanh et al.Problem statement: Content-Based Video Retrieval (CBVR) is still an open hard problem because of the semantic gap between low-level features and high-level features, largeness of database, keyframe’s content, choosing feature.In this study we introduce a new approach for this problem based on Scale-Invariant Feature Transform (SIFT) feature, a new metric and an object retrieval method. Conclusion/Recommendations: Our algorithm is built … …Journal of Computer Science, Vol. 8, Issue 6 · 15 Mar 2012 · 7,013 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid SIFT-DCT Approach for Face Matching of BuddhaStatues: Addressing Negative Similarity Metrics with SHashingLinda Marlinda, Fikri Budiman et al.Art and cultural heritage rely on image processing techniques forpreservation and analysis. A key challenge in this study is accuratelydetecting highly similar Buddha faces despite variations in lighting, rotation,and minor facial differences. This paper proposes a Content-Based ImageRetrieval (CBIR) framework that integrates Discrete Cosine Transform(DCT) and Scale-Invariant Feature Transform (SIFT) to enhance face-matching accuracy. The system is tested on a … …Journal of Computer Science, Vol. 21, Issue 7 · 29 Jul 2025 · 3,483 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSEVQER: 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
Research ArticleOpen accessIn the keywordsTowards Semantic User Query: A ReviewHui-Hui Wang, Yin-Chai Wang, Soo-See ChaiThis paper attempts to discuss the image query mechanisms and user needs for image retrieval. The explosive growth of image data leads to the need of research and development of Image retrieval. Image retrieval researches are moving from keyword, to low level features and to semantic features. Drive towards semantic features is due to the problem of the keywords which … …Journal of Computer Science, Vol. 11, Issue 10 · 4 Jan 2016 · 6,633 accessesView PDFCite