Size assessment of stacked logs via the Hough transform

J. R. Brodie, Alan Christopher Hansen, J. F. Reid

Research output: Contribution to journalArticlepeer-review


A robust technique that uses machine vision was developed to determine the diameter distribution within a stack of logs and to measure the overall solid wood volume. A monochrome vision sensor as positioned to view the ends of the logs. Machine vision algorithms based on the circular Hough transform were applied to simulated and real images of log stacks assembled in the laboratory. The technique was then tested under field conditions. Close to 100% of the log ends were detected and classified with the Hough transform. Error levels in volume estimation of less than 10% were achieved in the field tests.

Original languageEnglish (US)
Pages (from-to)303-310
Number of pages8
JournalTransactions of the American Society of Agricultural Engineers
Issue number1
StatePublished - Jan 1994
Externally publishedYes

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)

Fingerprint Dive into the research topics of 'Size assessment of stacked logs via the Hough transform'. Together they form a unique fingerprint.

Cite this