NDLI: Satellite image segmentation based on different objective functions using genetic algorithm: A comparative study

Content Provider	IEEE Xplore Digital Library
Author	Pare, S. Bhandari, A.K. Kumar, A. Singh, G.K. Khare, S.
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Indian Inst. of Inf. Technol. Design & Manuf. Jabalpur, Jabalpur, India (Pare, S.; Bhandari, A.K.; Kumar, A.; Khare, S.) \|\| Dept. of Electr. Eng., Indian Inst. of Technol. Roorkee, Roorkee, India (Singh, G.K.)
Abstract	Remotely sensed images usually require segmentation in presence of uncertainty, because of factors like environmental conditions, poor resolution and poor illumination. Therefore, to obtain an efficient algorithm for remotely sensed images is a challenging task. In this paper, a genetic algorithm (GA) based satellite image segmentation using different objective function has been employed for optimal multilevel thresholding. The performance of three different objective functions such as Kapur's, Otsu and Tsallis are compared using GA for optimal multilevel thresholding. Results are analyzed qualitatively and quantitatively both. Compared to other two-thresholding methods, the segmentation results using Kapur's and GA algorithm is found to be most promising, and the computation time is also minimized. From the performance of Kapur's entropy based segmentation, it was found that the genetic algorithm can be efficiently used in multilevel thresholding.
Starting Page	730
Ending Page	734
File Size	409556
Page Count	5
File Format	PDF
ISSN	21653577
e-ISBN	9781479980581
DOI	10.1109/ICDSP.2015.7251972
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-21
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Genetic algorithms Image segmentation Satellites Linear programming Algorithm design and analysis Signal processing algorithms genetic algorithm Mmultilevel thresholding Kapur's entropy between-class-variance Tsaillis entropy
Content Type	Text
Resource Type	Article

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