Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/42068
Title: Efficient SAR Image Segmentation Using Bias Field Estimation
Authors: Rahman, Md Zia Ur
Reddy, B M K
Keywords: Bias Fields;Edge Detection;Image Segmentation;Level Set Algorithm;Synthetic Aperture Radar
Issue Date: Jun-2017
Publisher: NISCAIR-CSIR, India
Abstract: In this paper we propose a better energy and bias field estimation method called optimized multiplicative intrinsic component optimization. This method takes the responsibilities of decomposing the image into two multiplicative components, such as true image and bias field components for hyper spectral images in dark night regions. These components simultaneously derived by energy minimization and the process mainly aimed at achieve the optimum intrinsic components of Synthetic Aperture Radar (SAR) image. In this SAR image processing we are introducing a novel technique for minimizing the energy function by bias field estimation. This method performs two operations to optimize the intrinsic multiplicative components. These are bias field estimation and energy minimization. Our proposed method becomes robust due to convex of each variable in energy minimization algorithm. The performance of the proposed scheme is evaluated by comparing with conventional techniques.
Page(s): 335-338
URI: http://nopr.niscair.res.in/handle/123456789/42068
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.76(06) [June 2017]

Files in This Item:
File Description SizeFormat 
JSIR 76(6) 335-338.pdf442.57 kBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.