TY - GEN
T1 - Computer vision in the field of wear particles
AU - Laghari, Mohammad Shakeel
AU - Ahmed, Faheem
PY - 2009/12/1
Y1 - 2009/12/1
N2 - This paper presents a system to monitor the wear process in machines using computer vision and image processing techniques applied to wear particle analysis. Particles are classified using their visual attributes to predict wear failure modes in engines and other machinery. The aim of the current work is to develop an automated system to classify wear particles and thereby predict wear failure modes in engines and other machinery, such that it obviates the need for specialists and reliance on human visual inspection techniques. The paper describes an interactive control system CAVE (Computer Aided Vision Engineering) in terms of the stages involved in processing data to acquire morphological features of wear particles from microscopic images and their automatic classification.
AB - This paper presents a system to monitor the wear process in machines using computer vision and image processing techniques applied to wear particle analysis. Particles are classified using their visual attributes to predict wear failure modes in engines and other machinery. The aim of the current work is to develop an automated system to classify wear particles and thereby predict wear failure modes in engines and other machinery, such that it obviates the need for specialists and reliance on human visual inspection techniques. The paper describes an interactive control system CAVE (Computer Aided Vision Engineering) in terms of the stages involved in processing data to acquire morphological features of wear particles from microscopic images and their automatic classification.
KW - Automation
KW - Computer vision
KW - Image analysis
KW - Wear particles
UR - http://www.scopus.com/inward/record.url?scp=77950509313&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950509313&partnerID=8YFLogxK
U2 - 10.1109/ICCEE.2009.182
DO - 10.1109/ICCEE.2009.182
M3 - Conference contribution
AN - SCOPUS:77950509313
SN - 9780769539256
T3 - 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
SP - 126
EP - 129
BT - 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
T2 - 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
Y2 - 28 December 2009 through 30 December 2009
ER -