Quantitative automated inspection of standard parts using machine vision
Computers & Industrial EngineeringPublished 1 November 1992
Ehsan Asoudegi
Citations3
SJR quartileQ1
SJR score1.63
SNIP1.99
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Examination of the possibility of real-time inspection of standard part using machine vision for quality and process control in an automated manufacturing environment is examined.
Abstract
On line automated visual inspection for quality and process control is becoming a very important requirement in an automated manufacturing environment. This paper examines the possibility of real-time inspection of standard part using machine vision.
Keywords
Engineering
IEEE Transactions on Pattern Analysis and Machine IntelligenceA rule based approach for visual pattern inspection
124 Citations1988Ahmed M. Darwish, Anil K. Jain
The authors investigate the use of a priori knowledge about a scene to coordinate and control bilevel image segmentation, interpretation, and shape inspection of different objects in the scene.
Industrial parts recognition and inspection by image morphology
18 Citations2003Frank Y. Shih, O.R. Mitchell
Application algorithms for industrial parts and tool recognition and inspection by image morphology techniques are discussed, which allow robust tool and part recognition and Inspection.
