Automatic evaluation of segregation streaks in material samples

C. C. Li, J. F. Mancuso, Y. N. Sun

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


This paper presents an automatic method for segmentation of segregation streaks in images of low alloy steel. A short run length algorithm is developed for extraction of streak patterns, whose density can be readily measured for evaluation of forging quality.

Original languageEnglish
Pages (from-to)413-418
Number of pages6
JournalPattern Recognition Letters
Issue number6
Publication statusPublished - 1984 Dec

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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