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Development of an Image Processing Method for Automatic Inspection of Wear of Throw‐away Tips
Author(s) -
WANG TING,
CHEN YENWEI,
ISHIZAKI YOSHITOMO,
MIYAMOTO MASARU,
HATTORI TOMOHITO
Publication year - 2018
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.12054
Subject(s) - thresholding , computer vision , automated x ray inspection , computer science , artificial intelligence , otsu's method , image processing , automated optical inspection , measure (data warehouse) , image (mathematics) , engineering drawing , engineering , data mining
SUMMARY The built‐in inspection is very important for quality control in precision cutting by throw‐away tip. We propose a new automatic inspection method for tool ware of industrial devices. We first do contrast enhancement of the ware image and then segment the cutting ware region by using Otsu thresholding method from the enhanced image. The area of the cutting ware region is used as a measure of cutting ware degree. Experimental results show that the proposed method is effective for automatic inspection of throw‐away tips in precision cutting.