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Image Retrieval

3 Credit Hour Course

Prerequisite:   None

Color models and their properties; Color feature extraction: color histogram, color coherence vector, color correlogram, dominant color descriptor, scalable color descriptor, color structure descriptor, color naming system; Texture feature extraction: moment based texture features, gray level co-occurrence matrix, features based on Gabor filter, wavelet and curvelet transforms, simultaneous autoregressive model, fractal dimension, edge detection and edge histogram; Shape feature extraction: image segmentation, contour representation by chain codes, Fourier descriptors, and curvature scale space, region descriptors; local and global features; Distance measures; Performance metrics; Databases; Tradition metadata based image retrieval; Content based image retrieval (CBIR) using low level color, texture and shape features; Issues in CBIR; Relevance feedback in image retrieval; Image understanding using support vector machines, neural networks, decision tree, Bayesian theorem, and ontology; Semantic image retrieval; Web image retrieval.

Department of Computer Science and Engineering, ECE building, Palashi, Dhaka, Bangladesh. The Department is part of the Faculty of Electrical and Electronic Engineering at the Bangladesh University of Engineering & Technology. No part or content of this website may be copied or reproduced without permission of the department authority. Contact info@cse.buet.ac.bd with questions or comments on this page.  [Development Credits]