Satellite image processing for oceanic applications using fuzzy logic
by Madhu S. Nair, Rekha Lakshmanan, M. Wilscy, Rao Tatavarti
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 10, No. 3, 2011

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.

Online publication date: Tue, 24-May-2011

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