Multi-feature edge detection with the feature of local image complexity

Authors:
X. Zhuang;N. E. Mastorakis
Affiliations:
WSEAS Headquarters, Zografou, Athens, Greece;Department of Computer Science, Military Institutions of University Education, Hellenic Naval Academy, Piraeus, Greece
Venue:
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Year:
2005

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Abstract

In this paper, the local fuzzy fractal dimension (LFFD) is proposed to represent the feature of local image complexity. The definition of LFFD is an extension of the box-counting dimension of discrete sets by incorporating the fuzzy set. The relationship between LFFD and local intensity changing is investigated by experiments, which proves that LFFD is an important feature of edges and is insensitive to noises. Multifeature edge detection is implemented with the LFFD and the Sobel operator. The experimental results show that the incorporation of LFFD in edge detection improves the quality of edge detection results.