Separability-Based Intelligent Scissors for Interactive Image Segmentation

Noriaki SUETAKE  Eiji UCHINO  Kanae HIRATA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E90-D   No.1   pp.137-144
Publication Date: 2007/01/01
Online ISSN: 1745-1361
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Advanced Image Technology)
Category: 
Keyword: 
interactive image segmentation,  intelligent scissors,  separability,  magic wand,  active contour model,  

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Summary: 
Intelligent scissors is an interactive image segmentation algorithm which allows a user to select piece-wise globally optimal contour segment corresponding to a desired object boundary. However, the intelligent scissors is too sensitive to a noise and texture patterns in an image since it utilizes the gradient information concerning the pixel intensities. This paper describes a new intelligent scissors based on the concept of the separability in order to improve the object boundary extraction performance. The effectiveness of the proposed method has been confirmed by some experiments for actual images acquired by an ordinary digital camera.