Automatic Object Extraction Based on Fuzzy Mask

Author

Wang, Haihui ; Yang, Yaling ; Ma, Shuaijun ; Guo, Chen

Author_Institution

Sch. of Comput. Sci. & Eng., Wuhan Inst. of Technol., Wuhan

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

4

Abstract

An efficient algorithm for automatic road extraction is presented based on fuzzy mask in this paper. The fuzzy mask concepts are employed in order to perform road pixels extraction. The aim of the proposed approach is to attribute a road membership value to each pixel. Firstly, a set of fuzzy mask sets, which represent basic road structures, is defined. The road structure, defined as a logical concatenation of these elementary predefined 2D structures, is used in order to enhance the road membership values. The input data of the SPOT panchromatic band of remote sensing is required, and it is applied in the system. Obtained experimental results show that this method is efficient in extracting and defining road networks from satellite and aerial imagery.

Keywords

fuzzy set theory; geophysical signal processing; image processing; object detection; remote sensing; roads; SPOT panchromatic band; aerial imagery; automatic object extraction; automatic road extraction; fuzzy mask set; logical concatenation; remote sensing; road membership value; road structure; satellite imagery; Computer science; Data mining; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Pixel; Remote sensing; Roads; Satellite broadcasting; Surface topography;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5072762

Filename

5072762