Moving distance measurement for hydraulic support based on fruit fly optimization algorithm

Jiabiao Wang; Zhongbin Wang; Jing Xu; Chao Tan; Lei Si

doi:10.1117/1.OE.56.1.013111

31 January 2017 Moving distance measurement for hydraulic support based on fruit fly optimization algorithm

Jiabiao Wang, Zhongbin Wang, Jing Xu, Chao Tan, Lei Si

Author Affiliations +

Optical Engineering, Vol. 56, Issue 1, 013111 (January 2017). https://doi.org/10.1117/1.OE.56.1.013111

Abstract

Due to the inaccurate and unreliable moving distance measurement of the hydraulic support in mines, a method based on the random circle detection (RCD) algorithm and the fruit fly optimization algorithm (FOA) is proposed. According to the changing center and radium of the circle on the support, the relative position of adjacent supports is acquired by the camera. The noise of the collected image is moved, and the edge feature is protected using a bilateral filter. A local adaptive threshold algorithm is used for binary processing of the image. Then, RCD is used to detect the contour, which is similar to the circle. A method to detect the circle based on FOA is used to accurately detect the circle. Subsequently, the relative distance is calculated according to the change of the circle. Finally, the accuracy and reliability of the proposed method are verified though the experiment.

Citation Download Citation

Jiabiao Wang, Zhongbin Wang, Jing Xu, Chao Tan, and Lei Si "Moving distance measurement for hydraulic support based on fruit fly optimization algorithm," Optical Engineering 56(1), 013111 (31 January 2017). https://doi.org/10.1117/1.OE.56.1.013111

Received: 26 September 2016; Accepted: 28 December 2016; Published: 31 January 2017

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available