Segmentation and region of interest based image retrieval in low depth of field observations

Authors:
Rajashekhara;Subhasis Chaudhuri
Affiliations:
Global Diagnostic X-ray Engineering, GE Healthcare Technologies, Bangalore 560066, India;Vision and Image Processing Laboratory, Department of Electrical Engineering, Indian Institute of Technology-Bombay, Mumbai 400076, India
Venue:
Image and Vision Computing
Year:
2007

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Abstract

In this paper we address the problem of extracting the focused region and its use in retrieving similar images from a low depth of field image database. We compute the histogram of the local contrast at each pixel and model it as a mixture of two exponential distributions - one for the focused and the other for the defocused region. Unlike the mixture of Gaussian distributions, a mixture of exponential distributions overlaps with same monotonicity over the entire range in [0, ~) and it is difficult to separate into components. We estimate the parameters of these distributions using the EM algorithm. This is followed by a hypothesis testing which segments the focused region in the low depth of field image. A content-based retrieval scheme is now confined to the detected region for a proper retrieval. Experimental results for both segmentation and image retrieval using a database consisting of 4986 images are presented to show the efficacy of the suggested scheme.