Scale selection for morphological top-hat transformation based on mutual information

Author

Wen, Tiexiang ; Gu, Jia ; Zhang, Ziqian ; Wang, Lei

Author_Institution

Res. Center for Med. Robot., Chinese Acad. of Sci., Shenzhen, China

Volume

3

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

1092

Lastpage

1096

Abstract

Multi-scale morphological top-hat transformation has been widespread used in pattern recognition, but the selection of the scale is still very subjective and empirical. To automate the scale selection, an automatic scale selection approach based on mutual information is proposed and the property of the proposed criterion based on mutual information is investigated extensively in this paper. Experimental results indicated that the proposed scale selection algorithm was capable of selecting the proper scale to the top-hat transformation for the extraction of uneven background illumination.

Keywords

image segmentation; mathematical morphology; pattern recognition; transforms; automatic scale selection; multiscale morphological top-hat transformation; mutual information; pattern recognition; uneven background illumination extraction; Estimation; Image segmentation; Level set; Lighting; Mutual information; Noise; morphology; mutual information; scale selection; top-hat transformation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5646884

Filename

5646884