Application of run length coding for defect image recognizing of steel ball surface

Peng Wang, Xianli Liu, Chunya Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Aiming at the problem of defect image character recognizing on steel ball, the improved method of run length coding was used in registering bug area of steel ball surface to disjoin defect region and irrelevant region after image was segmented. As a result, steel ball was detected by area character parameter. The program of image processing, segmentation, recognizing was developed in LabVIEW platform. This means has already been tested and it shows the algorithm has practicability, reliability and precision.

Original languageEnglish
Title of host publicationProceedings of the 11th Joint International Computer Conference, JICC 2005
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages903-906
Number of pages4
ISBN (Print)9812565329, 9789812565327
StatePublished - 2005
Externally publishedYes
Event11th Joint International Computer Conference, JICC 2005 - Chongqing, China
Duration: 10 Nov 200512 Nov 2005

Publication series

NameProceedings of the 11th Joint International Computer Conference, JICC 2005

Conference

Conference11th Joint International Computer Conference, JICC 2005
Country/TerritoryChina
CityChongqing
Period10/11/0512/11/05

Keywords

  • image recognition
  • image segmentation
  • run length coding
  • surface defect

Fingerprint

Dive into the research topics of 'Application of run length coding for defect image recognizing of steel ball surface'. Together they form a unique fingerprint.

Cite this