relation: https://khub.utp.edu.my/scholars/3745/
title: Noise reduction for ellipse fitting on medical images
creator: Tang, T.B.
creator: Lu, C.K.
creator: Laude, A.
creator: Dhillon, B.
creator: Murray, A.F.
description: Proposed is a simple yet effective method to reduce noise for ellipse fitting to scattered data on medical images. The method is developed specifically to address the challenge due to variation in the sharpness, magnitude and continuity of edges, when studying the medical images of a large population. The proposed method exploits prior knowledge to eliminate the inhomogeneity within the region of interest, and uses a k-means clustering technique to eliminate background noise. The objective is to create a 'noise-free' edge map for ellipse fitting. The method has been applied to retinal fundus images for optic-disc segmentation. Experiment results demonstrate the benefits of the proposed method. © The Institution of Engineering and Technology 2013.
date: 2013
type: Article
type: PeerReviewed
identifier:   Tang, T.B. and Lu, C.K. and Laude, A. and Dhillon, B. and Murray, A.F.  (2013) Noise reduction for ellipse fitting on medical images.  Electronics Letters, 49 (3).  pp. 178-179.  ISSN 00135194     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877747931&doi=10.1049%2fel.2012.3432&partnerID=40&md5=516cf2690cf088a66aeeb1643823c418
relation: 10.1049/el.2012.3432
identifier: 10.1049/el.2012.3432