Proceedings of the Fuzzy System Symposium
38th Fuzzy System Symposium
Session ID : FF2-1
Conference information

proceeding
Study of Contour Detection for Growing Neural Gas based 3D Shape Recognition
Yudai Furuta*Yuichiro TodaTakayuki Matsuno
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract

This paper presents the algorithm of extracting contour nodes with the use of self-organising networks, which is called Growing Neural Gas (GNG). The system imitates how to get the contour nodes in binary image. And, this algorithm also includes getting contour nodes with angle information for dealing with GNG. Therefore, algorithm consists of their two methods. The proposed method can get the contour nodes exactly compared with advance literature.

Content from these authors
© 2022 Japan Society for Fuzzy Theory and Intelligent Informatics
Previous article Next article
feedback
Top