Title :
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
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;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563852
