Title: Satellite image processing for oceanic applications using fuzzy logic

Authors: Madhu S. Nair, Rekha Lakshmanan, M. Wilscy, Rao Tatavarti

Addresses: Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram 695581, Kerala, India. ' Department of Computer Science, KMEA Engineering College, Aluva, Kerala, India. ' Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram 695581, Kerala, India. ' Department of Civil Engineering, Gayatri Vidya Parishad College of Engineering, Madhurawada, Visakhapatnam 530048, Andhra Pradesh, India

Abstract: In this paper, we have performed a comparative analysis of various conventional contrast enhancement techniques (histogram equalisation and adaptive histogram equalisation), the recent fast grey-level grouping method (Chen et al., 2006a,b), the fuzzy logic method (Hanmandlu and Jha, 2006) and a modified fuzzy logic method (Nair et al., in press) to find out which of these is well suited for automatic contrast enhancement for satellite images of the ocean, obtained from a variety of sensors. The principle of transforming the skewed histogram of the original image into a uniform histogram is used as the basis for all techniques. The performance of the different contrast enhancement algorithms is evaluated based on the visual quality and the Tenengrad criterion. The inter-comparison of different techniques was carried out on a standard low contrast image and also on different satellite images with different characteristics. Based on our study, we conclude that the modified fuzzy logic (Nair et al., in press) is well suited for automatic contrast enhancement of satellite images of the ocean.

Keywords: contrast enhancement; GLG; grey-level grouping; histograms; satellite images; fuzzy logic; entropy; satellite image processing; ocean images; ocean imaging.

DOI: 10.1504/IJISTA.2011.040351

International Journal of Intelligent Systems Technologies and Applications, 2011 Vol.10 No.3, pp.289 - 301

Received: 18 Dec 2010
Accepted: 11 Jan 2011
Published online: 24 May 2011 *

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