Image Background Removal by Contour Feature

Abstract:

In the task of the image processing and analysis, the background noise removal is a important step. In the image background noise removal, there are many methods which is popular for the researchers. For example, the gray threshold methods are commonly taken to remove the noises which have large contrast to the interest objects. However, there are many noises with no variance with the interest objects in the gray level. For these noises, the gray level based noise removal method is totally futile, while the contour feature has its super performance for reducing this sort of noise. For the contour feature based image background removal method, the contour model is the key. This paper proposes a novel method for modeling the contour feature of the interest objects. With this method, a novel background noise which has the same gray level to the background noise is totally removed.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 3050-3053
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.3050
• Online since: May 2014
• Authors: Zhao Fei Li, Jiang Qing Wang*
• Keywords: Background Noise, Contour Feature, Image Enhancement, Image Processing

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