A Bayesian network-based approach for identifying regions of interest utilizing global image features

Mustafa Jaber; Eli Saber

doi:10.1117/12.859274

7 September 2010 A Bayesian network-based approach for identifying regions of interest utilizing global image features

Mustafa Jaber, Eli Saber

Proceedings Volume 7798, Applications of Digital Image Processing XXXIII; 77980Q (2010) https://doi.org/10.1117/12.859274
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

An image-understanding algorithm for identifying Regions-of-Interest (ROI) in digital images is proposed. Global and regional features that characterize relations between image segments are fused in a probabilistic framework to generate ROI for an arbitrary image. Features are introduced as maps for spatial position, weighted similarity, and weighted homogeneity for image regions. The proposed methodology includes modules for image segmentation, feature extraction, and probabilistic reasoning. It differs from prior art by using machine learning techniques to discover the optimum Bayesian Network structure and probabilistic inference. It also eliminates the necessity for semantic understanding at intermediate stages. Experimental results show a competitive performance in comparison with the state-of- the-art techniques with an accuracy rate of ~80% on a set of ~20,000 publicly available color images. Applications of the proposed algorithm include content-based image retrieval, image indexing, automatic image annotation, mobile phone imagery, and digital photo cropping.

Citation Download Citation

Mustafa Jaber and Eli Saber "A Bayesian network-based approach for identifying regions of interest utilizing global image features", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77980Q (7 September 2010); https://doi.org/10.1117/12.859274

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KEYWORDS

Image segmentation

Image processing algorithms and systems

Evolutionary algorithms

Digital imaging

Detection and tracking algorithms

Feature extraction

Image processing

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