An Algorithm for Computer Vision Sensing of a Row Crop Guidance Directrix Agricultural Engrg. Dept. University of Illinois

Format:

Conference/Event

Author/Creator:

Reid, John F., author.

Conference Name:

International Off-Highway & Powerplant Congress & Exposition (1991-09-09 : Milwaukee, Wisconsin, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1991

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

911752

Access Restriction:

Restricted for use by site license