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An Algorithm for Computer Vision Sensing of a Row Crop Guidance Directrix
ISSN: 0148-7191, e-ISSN: 2688-3627
Published September 01, 1991 by SAE International in United States
Annotation ability available
A heuristic line detection algorithm is described for computing guidance information from row crop images. The technique processes binary images representing crop rows against a soil background. Points along the centers of crop rows are enhanced using a modified run-length encoding procedure. The properties of lines in images can be improved by filtering based on characteristics of the object run-length. A clustering algorithm was used to aggregate pixels that fall on the same crop row. The technique was compared with the Hough transform, a common line detection technique in image processing. Both procedures accurately represented lines measured manually in a set of images representing a range of expected field conditions.
CitationReid, J. and Searcy, S., "An Algorithm for Computer Vision Sensing of a Row Crop Guidance Directrix," SAE Technical Paper 911752, 1991, https://doi.org/10.4271/911752.
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