Based on an improved ant colony algorithm fabric image detection method

Author

Sun, Baoshan ; Wan, Zhenkai

Author_Institution

Sch. of Comput. Sci. & Software Eng., Tianjin Polytech. Univ., Tianjin, China

Volume

5

fYear

2010

fDate

9-11 July 2010

Firstpage

568

Lastpage

571

Abstract

Computer detection for the current wide application in the textile industry, using computer digitized fabric image to achieve recognition and analysis. With a positive feedback, distributed computation to solve ant colony algorithm is a combination of new methods of optimization problems, and then proposed an improved ant colony algorithm based on fabric image detection method. The method for the fabric image preprocessing process, the fabrics feature point matching, digital identification and analysis provides an optimized solution.

Keywords

fabrics; feature extraction; image matching; object detection; optimisation; production engineering computing; textile industry; ant colony algorithm; computer detection; computer digitized fabric image detection; digital identification; fabric feature point matching; fabric image preprocessing; image analysis; image recognition; optimization problem; textile industry; Fabrics; Image segmentation; Manganese; Ant colony algorithm; fabric; image detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5537-9

Type

conf

DOI

10.1109/ICCSIT.2010.5563852

Filename

5563852