OPTIMIZATION OF MINING HISTOGRAMIC SIGNS DETECTION AND RECOGNITION SYSTEM
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.6, No. 10)Publication Date: 2015-10-29
Authors : U. V. ANBAZHAGU P. DEEPALAKSHMI; J. S. PRAVEEN;
Page : 34-41
Keywords : Iaeme Publication; IAEME; Technology; Engineering; IJCET; CBIR and QR.;
Abstract
Content - based image retrieval (CBIR) systems are the most widely used feature of an image colouring. Basically, these systems try to retrieve images similar to a user - defined specification or pattern (e.g., shape sketch, image example). Their goal is to support image retrieval based on content properties (e.g., shape, color, texture), usually encoded into feature vectors. One of the main advantages of the CBIR approach is the possibility of an automatic retrieval process, instead of the traditional keyword - based approach, which usually requires very laborious and time - consuming previous annotation of database images.
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