Machine vision inspection of 'golden delicious' apples

P. H. Heinemann, Z. A. Varghese, C. T. Morrow, H. J. Sommer, R. M. Crassweller

Research output: Contribution to journalArticle

52 Scopus citations

Abstract

A machine vision system was developed to form a basis for single-pass quality feature inspection and grading of 'Golden Delicious' apples. The inspection criteria were based on USD A standards for fresh market apples. Image analysis algorithms were developed to assess and quantify the quality features of color, shape, and russet. Over 300 'Golden Delicious' apples were inspected by the machine vision system and the results were compared to a human inspector. The vision system was able to correctly classify 100% of the apples for color, 92.3% for shape, and 82.5% for russetting.

Original languageEnglish (US)
Pages (from-to)901-906
Number of pages6
JournalApplied Engineering in Agriculture
Volume11
Issue number6
StatePublished - Nov 1 1995

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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