Rapid cascade condition assessment of ductwork via robot vision

Yongxiong Wang; Jianbo Su

doi:10.1117/1.OE.51.2.027201

23 February 2012 Rapid cascade condition assessment of ductwork via robot vision

Yongxiong Wang, Jianbo Su

Author Affiliations +

Optical Engineering, Vol. 51, Issue 2, 027201 (February 2012). https://doi.org/10.1117/1.OE.51.2.027201

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.

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Yongxiong Wang and Jianbo Su "Rapid cascade condition assessment of ductwork via robot vision," Optical Engineering 51(2), 027201 (23 February 2012). https://doi.org/10.1117/1.OE.51.2.027201

Published: 23 February 2012

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