By Topic

Thresholding for Edge Detection in SAR Images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Sen, D. ; Indian Stat. Inst., Kolkata ; Pal, S.K.

Selecting a threshold from the gradient histogram, a histogram of gradient magnitudes, of an image plays a crucial role in a gradient based edge detection system. In this paper, we propose a methodology to determine this threshold value when the edge detection system is applied to synthetic aperture radar (SAR) images. We consider a SAR image as a random process, perform a transformation, model the gradient histogram of the transformed image using theories of random process and then determine a region of interest in the gradient histogram using certain properties of a probability density function. Standard histogram thresholding techniques are then used within the region of interest to get the threshold value. The proposed methodology provides a systematic solution to the thresholding problem in gradient based edge detection systems for SAR images and hence results in consistently appreciable performance. Extensive experimental results are shown to demonstrate the effectiveness of the proposed methodology.

Published in:

Signal Processing, Communications and Networking, 2008. ICSCN '08. International Conference on

Date of Conference:

4-6 Jan. 2008