An Improvement of Two-Dimensional Maximum Entropy Thresholding Segmentation Algorithm for SAR Image

Author

Tan Hai-feng ; Yang Guang ; Zheng Nan ; Luo Tian-wen

Author_Institution

Special Prof. Dept., Aviation Univ. of Airforce, Changchun, China

Volume

3

fYear

2012

fDate

23-25 March 2012

Firstpage

379

Lastpage

382

Abstract

In allusion to complex land SAR images, a modified partition method for two dimensional maximum entropic thresholding method is proposed. In this algorithm, a weighted factor is introduced into the criterion function of detection threshold, which strengthen the adaptive capacity to complex land SAR images. Simultaneously, it also improves the accuracy of image segmentation and reduces the false alarm rate and missed alarm rate. Experimental results show that the modified method has better performance in image segmentation.

Keywords

image segmentation; maximum entropy methods; radar imaging; synthetic aperture radar; SAR Image; adaptive capacity; complex land SAR images; criterion function; detection threshold; false alarm rate; image segmentation; missed alarm rate; modified partition method; two dimensional maximum entropic thresholding method; two-dimensional maximum entropy thresholding segmentation algorithm; weighted factor; Digital images; Educational institutions; Entropy; Image segmentation; Laboratories; Noise; Synthetic aperture radar; Complex land SAR images; Texture feature; Two dimensional maximum entropy thresholding method; Weighted factor; point gray-regional grey degrees couple;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-0689-8

Type

conf

DOI

10.1109/ICCSEE.2012.157

Filename

6188310