Multi-feature edge extraction for gray-scale images with local fuzzy fractal dimension

Author

Du, Jipeng ; Gao, Yanming ; Qu, Peng ; Xu, Xiaowei ; Zheng, Yongfeng

Author_Institution

North China Sea Inf. Center, North China Sea Branch of the State Oceanic Adm., Qingdao, China

Volume

2

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

583

Lastpage

587

Abstract

The local fuzzy fractal dimension (LFFD) is proposed as a novel representation 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. Multi-feature edge extraction is implemented with the LFFD and the Sobel operator. The experimental results show that the incorporation of LFFD in edge extraction improves the quality of edge extraction results.

Keywords

edge detection; feature extraction; fractals; fuzzy set theory; image representation; Sobel operator; box counting dimension; fuzzy set; gray scale image; local fuzzy fractal dimension; local image complexity representation; multifeature edge extraction; Complexity theory; Feature extraction; Fractals; Gray-scale; Image edge detection; Noise; Pixel; edge extraction; fractal; fuzzy;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5931-5

Type

conf

DOI

10.1109/FSKD.2010.5569469

Filename

5569469