NDLI: Edge localisation in MRI for images with signal-dependent noise

Content Provider	IET Digital Library
Author	Aarya, I. Jiang, D. Gale, T.
Abstract	A new edge localisation technique for step edges in images with signal-dependent Rician noise in MRI is proposed. Dependent noise can not only affect the detection of true edges in an image but also their position. Inaccurate localisation of an edge can lead to insufficient segmentation and reduce the overall accuracy of any edge detection method. The proposed technique uses higher-order moments of the noise function to determine the correction factor for localisation and thus reduce the overall mean square error for true edge localisation due to noise. The proposed technique offers significant improvement in edge localisation for an image as compared with Canny and Sobel methods.
Starting Page	1151
Ending Page	1153
Page Count	3
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 15, Jul (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.0774
Journal	Electronics Letters
Publisher Date	2015-07-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biomedical Magnetic Resonance Imaging Biomedical MRI Canny Method Computer Vision And Image Processing Technique Correction Factor Edge Detection Edge Detection Method Edge Localisation Technique Interpolation And Function Approximation Magnetic Resonance Imaging Mean Square Error Method Medical Image Processing Medical Magnetic Resonance Imaging And Spectroscopy MRI MSE Noise Function Numerical Analysis Numerical Approximation And Analysis Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Signal Dependent Noise Signal Dependent Rician Noise Sobel Method Spectroscopy
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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