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Optical Engineering

Rapid cascade condition assessment of ductwork via robot vision
Author(s): Yongxiong Wang; Jianbo Su
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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)

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