Title :
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
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;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.157
