Title :
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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346619
