Share Email Print

Optical Engineering

Rapid cascade condition assessment of ductwork via robot vision
Author(s): Yongxiong Wang; Jianbo Su
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Automatic assessment of condition in ductwork is very desirable in applications. Presented is a visual condition diagnosis approach, which is capable of processing images rapidly and achieving high accuracy rates. A hierarchical coarse-to-fine image segmentation method is employed. False alarms could thus be progressively eliminated, which is robust in strongly noisy conditions. The simple classifiers combined in a cascade quickly classify the detected images and discard the uninterested (non-object) images, leaving more computation power on promising object-like regions. The features of each simple classifier are selected based on the Bhattacharyya distance. The cascade can be viewed as an object-specific focus-of-attention mechanism. Experimental results validate the effectiveness and rapidity of the proposed assessment method.

Paper Details

Date Published: 23 February 2012
PDF: 13 pages
Opt. Eng. 51(2) 027201 doi: 10.1117/1.OE.51.2.027201
Published in: Optical Engineering Volume 51, Issue 2
Show Author Affiliations
Yongxiong Wang, Shanghai Jiao Tong Univ. (China)
Jianbo Su, Shanghai Jiao Tong Univ. (China)

© SPIE. Terms of Use
Back to Top