Image segmentation using minimum cross-entropy thresholding

Author

Al-Ajlan, Amani ; El-Zaart, Ali

Author_Institution

Dept. of Inf. Technol., King Saud Univ., Riyadh, Saudi Arabia

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

1776

Lastpage

1781

Abstract

Entropy-based image thresholding is an important concept in the area of image processing. Pal (1996) proposed a minimum cross-entropy thresholding method based on Gaussian distribution. Our new method is derived from Pal method that segment images using minimum cross-entropy thresholding based on Gamma distribution and can handle bi-modal and multimodal images. Our method is tested by using Synthetic Aperture Radar (SAR) images and it gives reliable results for bimodal and multimodal images.

Keywords

Gaussian distribution; gamma distribution; image segmentation; minimum entropy methods; radar imaging; synthetic aperture radar; Gamma distribution; Gaussian distribution; Pal method; SAR images; bimodal images; image processing; image segmentation; minimum cross-entropy thresholding; multimodal images; synthetic aperture radar images; Computer science; Cybernetics; Educational institutions; Gaussian distribution; Histograms; Image segmentation; Information technology; Statistical distributions; Synthetic aperture radar; USA Councils; Gamma distribution; SAR image; Thresholding;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346619

Filename

5346619