NDLI: HSV color space based segmentation of region of interest in satellite images

Content Provider	IEEE Xplore Digital Library
Author	Ganesan, P. Rajini, V. Sathish, B.S. Shaik, K.B.
Copyright Year	2014
Description	Author affiliation: Sathyabama Univ., Chennai, India (Ganesan, P.) \|\| Dept. of Electron. &Control, Sathyabama Univ. Chennai, Chennai, India (Sathish, B.S.; Shaik, K.B.) \|\| Dept. of Electr. & Electron., SSN Coll. of Eng. Chennai, Chennai, India (Rajini, V.)
Abstract	In this paper, a new method for the extraction of the necessary object or region from the satellite image is proposed. This color based method is based on HSV color space and histogram threshold. Usually the multispectral images received from satellite are in RGB color space. But human eye is more sensitive to intensity than color information (hue or saturation). In the proposed approach, the satellite image in RGB color space is transformed into HSV color space and then the transformed satellite image is split into three different components (channels or images) based on intensity and color. This HSV color space is designed to approximate the human vision. In the next step, the histogram for all three components (hue, saturation and value) is computed and plotted. Then the threshold value is separately applied to all three components. Finally the morphological operations like masking, filtering, smoothening is performed for the extraction of the desired region. The effectiveness of the proposed approach has been demonstrated by number of experiments. Experimental result demonstrates that the proposed method is more efficient in the extraction and segmentation of a desired object or region in the satellite images.
Starting Page	101
Ending Page	105
File Size	580297
Page Count	5
File Format	PDF
ISBN	9781479941919
e-ISBN	9781479941902
DOI	10.1109/ICCICCT.2014.6992938
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-10
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histogram Filtering Instruments Aerospace electronics Satellite image Morphological operations Histograms Image segmentation Satellites Image color analysis Region of interest HSV color space Threshold
Content Type	Text
Resource Type	Article

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