Open AccessA Study on Pre-processing Algorithms for Metal Parts Inspection
Author(s) -
H. Hashim,
Anton Prabuwono,
Siti Norul Huda Sheikh Abdullah
Publication year - 2011
Publication title -
iraqi journal for electrical and electronic engineering/al-maǧallaẗ al-ʻirāqiyyaẗ al-handasaẗ al-kahrabāʼiyyaẗ wa-al-ilikttrūniyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2078-6069
pISSN - 1814-5892
DOI - 10.37917/ijeee.7.1.1
Subject(s) - image processing , digital image processing , computer science , noise (video) , edge detection , enhanced data rates for gsm evolution , mathematical morphology , computer vision , filter (signal processing) , artificial intelligence , median filter , noise reduction , algorithm , digital image , image (mathematics) , domain (mathematical analysis) , pattern recognition (psychology) , mathematics , mathematical analysis
Pre-processing is very useful in a variety of situations since it helps to suppress information that is not related to the exact image processing or analysis task. Mathematical morphology is used for analysis, understanding and image processing. It is an influential method in the geometric morphological analysis and image understanding. It has befallen a new theory in the digital image processing domain. Edges detection and noise reduction are a crucial and very important pre-processing step. The classical edge detection methods and filtering are less accurate in detecting complex edge and filtering various types of noise. This paper proposed some useful mathematic morphological techniques to detect edge and to filter noise in metal parts image. The experimental result showed that the proposed algorithm helps to increase accuracy of metal parts inspection system.