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21 results for “Content-Based Image Retrieval (CBIR)”
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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 keywordsContent Based Image Retrieval of Ultrasound Liver Diseases Based on Hybrid ApproachR. Suganya, S. RajaramProblem statement: In the past few years, immense improvement was obtained in the field of Content-Based Image Retrieval (CBIR). Nevertheless, existing systems still fail when applied to medical image databases. Simple feature-extraction algorithms that operate on the entire image for characterization of color, texture, or shape cannot be related to the descriptive semantics of medical knowledge that is extracted from … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 24 Mar 2012 · 7,643 accessesView PDFCite
Research ArticleOpen accessIn the keywordsVideo 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 keywordsContent Based Image Retrieval using Novel Gaussian Fuzzy Feed Forward-Neural NetworkC. Ramesh Babu Durai, V. DuraisamyProblem statement: With extensive digitization of images, diagrams and paintings, traditional keyword based search has been found to be inefficient for retrieval of the required data. Content-Based Image Retrieval (CBIR) system responds to image queries as input and relies on image content, using techniques from computer vision and image processing to interpret and understand it, while using techniques from information … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,326 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 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
Research ArticleOpen accessIn the abstractCombining SURF and MSER along with Color Features for Image Retrieval System Based on Bag of Visual WordsHeba A. ElnemrContent-Based Image Retrieval (CBIR) has received an extensive attention from researchers due to the rapid growing and widespread of image databases. Despite the massive research efforts consumed for CBIR, the completely satisfactory results have not yet been attained. In this article, we offer a new CBIR technique that relies on extracting Speeded Up Robust Features (SURF) and Maximally Stable Extremal … …Journal of Computer Science, Vol. 12, Issue 4 · 9 May 2016 · 7,704 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndexing Medical Images Using the Wavelet Transform: Application to Retinal ImagesSouad Meziane Tani, Abdelhafid BessaidContent-Based Image Retrieval Systems (CBIR) provide effective support to the doctor to find relevant images using their visual content. Current medical systems are unable to provide accurate and precise results. To solve this problem, effective indexing algorithms are required to extract the contents of the images. In this study, the method of indexing image from the energy coefficients of the … …Current Research in Bioinformatics, Vol. 2, Issue 2 · 1 Jul 2014 · 6,691 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMAGE RETRIEVAL USING CERTAIN BLOCK BASED DIFFERENCE OF INVERSE PROBABILITY AND CERTAIN BLOCK BASED VARIATION OF LOCAL CORRELATION COEFFICIENTS INTEGRATED WITH WAVELET MOMENTSB. Thenkalvi, S. MurugavalliContent Based Image Retrieval (CBIR) is an evolving topic under image processing. Retrieval on medical images plays a vital role in saving mankind. Medical Content Based Image Retrieval (MCBIR) does not stop its work in displaying similar images; it also goes one step further for diagnosis to decide the method of therapy by comparing the query image and database image. … …Journal of Computer Science, Vol. 10, Issue 8 · 3 Apr 2014 · 6,979 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