Identification and separation of micropropagated sugarcane shoots based on the Hough transform

Z. Wang, Paul Heinz Heinemann, Henry Joseph Sommer, III, P. N. Walker, C. T. Morrow, C. Heuser

Research output: Contribution to journalConference article

Abstract

A Hough transform-based computer algorithm was developed to extract shoot stems as straight lines in a micropropagated Stage 2 sugarcane shoot clump image. Compared with the shoot identification algorithms developed in previous research, this algorithm had a higher shoot identification ratio and was more robust to noise in the image. The algorithm was tested on a vision-guided micropropagated Stage 2 sugarcane shoot separation mechanism. With the Hough transform-based shoot identification algorithm, a real time shoot separation method was presented. Tests showed that more than 80% of the shoots were separated and transplanted successfully by the mechanism.

Original languageEnglish (US)
JournalPaper - American Society of Agricultural Engineers
Volume1
StatePublished - Dec 1 1997

All Science Journal Classification (ASJC) codes

  • Agricultural and Biological Sciences (miscellaneous)

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