An improved method of watershed transform on image of cashmere and wool fibre

Author

Shang, Shu-yuan ; Liu, Ya-xia ; Meng, Fei-fei

Author_Institution

Beijing Inst. of Fashion Technol., Beijing, China

Volume

3

fYear

2012

fDate

15-17 July 2012

Firstpage

1199

Lastpage

1204

Abstract

Through the experiment, if using the traditional watershed algorithm of cashmere image edge extraction, the results will appear serious `over-segmentation´ phenomenon. This paper adopts multi-resolution analysis theory, using wavelet transformation theory establishment multi-resolution analysis framework on image segmentation. Multi-wavelet transform has some unique advantages and good performance on edge detection and texture analysis. This research uses multi-wavelet transform to improve the over-segmentation watershed transformation, to get meaningful image segmentation result. It facilitates the preparation for the extraction of characteristic such as cashmere image diameter, flake highly, and etc.

Keywords

edge detection; image coding; image segmentation; image texture; wavelet transforms; cashmere image diameter; cashmere image edge extraction; edge detection; image segmentation; multiresolution analysis theory; multiwavelet transform; over-segmentation phenomenon; over-segmentation watershed transformation; texture analysis; wavelet transformation theory; wool fibre; Abstracts; Image edge detection; Image segmentation; Wavelet analysis; Wavelet transforms; Image processing; Multi-wavelet transform; Over-Segmentation; Watershed transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on

Conference_Location

Xian

ISSN

2160-133X

Print_ISBN

978-1-4673-1484-8

Type

conf

DOI

10.1109/ICMLC.2012.6359526

Filename

6359526