Noise reduction for ellipse fitting on medical images. Issue 3 (1st January 2013)

• Record Type: Journal Article
• Authors: Tang, T.B.; Lu, C.K.; Laude, A.; Dhillon, B.; Murray, A.F.
• Is Part Of: Electronics letters. Volume 49:Issue 3(2013)
• Page Start: 178
• Page End: 179
• Publication Date: 2013-01-01
• Subjects: image segmentation -- interference suppression -- medical image processing; noise reduction -- ellipse fitting -- medical images -- scattered data -- k‐means clustering technique -- background noise -- noise‐free edge map -- retinal fundus images -- optic‐disc segmentation; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2012.3432
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : 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.