An Algorithm for Computer Vision Sensing of a Row Crop Guidance Directrix 911752
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.
Citation: Reid, 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. Download Citation
Author(s):
John F. Reid, Stephen W. Searcy
Affiliated:
Agricultural Engrg. Dept. University of Illinois, Agricultural Engrg. Dept. Texas A&M University
Pages: 15
Event:
International Off-Highway & Powerplant Congress & Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
SAE 1991 Transactions - Commercial Vehicle-V100-2
Related Topics:
Mathematical models
Imaging and visualization
SAE MOBILUS
Subscribers can view annotate, and download all of SAE's content.
Learn More »
