Automatic edge detection using 3 × 3 ideal binary pixel patterns and fuzzy-based edge thresholding

Authors:
Dong-Su Kim;Wang-Heon Lee;In-So Kweon
Affiliations:
Department of Electrical Engineering and Computer Science, KAIST, Daejeon, Korea Robotics and Computer Vision Lab, 373-1, Guseong-dong, Yuseong-gu, Taejon 305-701, South Korea;Department of Electrical Engineering and Computer Science, KAIST, Daejeon, Korea Robotics and Computer Vision Lab, 373-1, Guseong-dong, Yuseong-gu, Taejon 305-701, South Korea;Department of Electrical Engineering and Computer Science, KAIST, Daejeon, Korea Robotics and Computer Vision Lab, 373-1, Guseong-dong, Yuseong-gu, Taejon 305-701, South Korea
Venue:
Pattern Recognition Letters
Year:
2004

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Abstract

An edge magnitude and direction scheme that uses 3 × 3 ideal binary pixel patterns and a lookup table is described. Final edges are determined automatically using the non-maximum suppression with edge confidence measure and fuzzy-based edge thresholding, even in a changing environment.