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164 results for “retrieval”

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Research ArticleOpen accessEvery word in the titleCOLOR PERCEPTION HISTOGRAM FOR IMAGE RETRIEVAL USING MULTIPLE SIMILARITY MEASURESR. Malini, C. VasanthanayakiThis study aims to increase the retrieval efficiency of proposed image retrieval system on the basis of color content. A new idea of feature extraction based on color perception histogram is proposed. First, the color histogram is constructed for HSV image. Secondly, the true color and grey color components are identified based on hue and intensity. The weight for true … …Journal of Computer Science, Vol. 10, Issue 6 · 30 Jan 2014 · 6,606 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCONTENT BASED BATIK IMAGE RETRIEVALA. Haris Rangkuti, Agus Harjoko, Agfianto Eko PutroContent Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with other images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,417 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSHAPE RETRIEVAL THROUGH MAHALANOBIS DISTANCE WITH SHORTEST AUGMENTING PATH ALGORITHMS. Muruganathan, N. Devarajan, D. Chitra, T. ManigandanShape matching and object recognition plays an vital role in the computer vision. The shape matching is difficult in case of the real world images like mpeg database images since the real world images has the internal and external contours. The Mahalanobis distance based shape context approach is proposed to measure similarity between shapes and exploit it for shape retrieval. … …Journal of Computer Science, Vol. 10, Issue 4 · 3 Dec 2013 · 6,856 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAN EFFICIENT/ENHANCED CONTENT BASED IMAGE RETRIEVAL FOR A COMPUTATIONAL ENGINEK. V. Shriram, P. L.K. Priyadarsini, Kaushik Velusamy, A. BalachandranA picture or image is worth a thousand words. It is very much pertinent to the field of image processing. In the recent years, much advancement in VLSI technologies has triggered the abundant availability of powerful processors in the market. With the prices of RAM are having come down, the databases could be used to store information on the about … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 7,266 accessesView PDFCite
Research ArticleOpen accessEvery word 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 accessEvery word in the titleRETRIEVAL OF 24 HOUR AEROSOL OPTICAL DEPTHS FROM MIE LIDAR DATASiriluk Ruangrungrote, Pichet Limsuwan, Arunee IntasornTemporal Aerosol Optical Depths (AODs) of Phimai district, Nakhon Ratchasima province in Thailand were retrieved from measured Mie lidar data on 17-20 February 2005 using Fernald method. The ground-based station was selected for its high and diverse local agricultural activities contributed to the aerosol content which allows for various parameters such as concentration, size distribution and aerosol optical properties to … …Physics International, Vol. 4, Issue 2 · 4 Sep 2013 · 6,515 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Different Query Expansion Techniques for Arabic Text Retrieval SystemAysh Alhroob, Hayel Khafajeh, Nisreen InnabThe word mismatch problem is fundamental to Information retrieval. Query expansion process helps to overcome this problem. Based on the Arabic corpuses, the comparisons between two query expansion techniques (global and local query) have been conducted to determine the query effectiveness. First one represents the local context analysis which represents a local method, while a global method was the second … …American Journal of Applied Sciences, Vol. 10, Issue 9 · 24 Aug 2013 · 6,885 accessesView PDFCite
Research ArticleOpen accessEvery word 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 accessEvery word in the titleQuery Translation using Concepts Similarity Based on Quran Ontology for Cross-Language Information RetrievalZulaini Yahya, Muhamad Taufik Abdullah, Azreen Azman, Rabiah Abdul KadirIn Cross-Language Information Retrieval (CLIR) process, the translation effects have a direct impact on the accuracy of follow-up retrieval results. In dictionary-based approach, we are dealing with the words that have more than one meaning which can decrease the retrieval performance if the query translation return an incorrect translations. These issues need to be overcome using efficient technique. In this … …Journal of Computer Science, Vol. 9, Issue 7 · 21 Jun 2013 · 7,469 accessesView PDFCite
Research ArticleOpen accessEvery word 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