Image Segmentation Using Minimum Cross-Entropy Thresholding

被引：8

作者：

Al-Ajlan, Amani ^{[1
]}

El-Zaart, Ali ^{[2
]}

机构：

[1] King Saud Univ, Dept Informat Technol, Coll Comp & Informat Sci, Riyadh, Saudi Arabia

[2] King Saud Univ, Dept Comp Sci, Coll Comp & Informat Sci, Riyadh, Saudi Arabia

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年

关键词：

Thresholding; SAR image; Gamma distribution;

D O I：

10.1109/ICSMC.2009.5346619

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1776 / +

页数：2

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