Edge Extraction Method Based on Separability of Image Features

Kazuhiro FUKUI  

IEICE TRANSACTIONS on Information and Systems   Vol.E78-D   No.12   pp.1533-1538
Publication Date: 1995/12/25
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Machine Vision Applications)
image processing,  edge extraction,  region-based,  linear discriminant analysis,  separability,  

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This paper proposes a robust method for detecting step and ramp edges. In this method, an edge is defined not as a point where there is a large change in intensity, but as a region boundary based on the separability of image features which can be calculated by linear discriminant analysis. Based on this definition of an edge, its intensity can be obtained from the separability, which depends only on the shape of an edge. This characteristic enables easy selection of the optimum threshold value for the extraction of an edge, and this method can be applied to color and texture edge extraction. Experimental results have demonstrated that this proposed method is robust to noise and dulled edges, and, in addition, allows easy selection of the optimum threshold value.