Image processing methods for identifying species of plants

Author

Dave, Shulin ; Runtz, Ken

Author_Institution

Regina Univ., Sask., Canada

Volume

2

fYear

1995

fDate

15-16 May 1995

Firstpage

403

Abstract

More selective methods for applying agricultural herbicides on fields can result in substantial cost savings. Three image processing methods were tested for their ability to identify four different images of plant species. First two images were different and the other two were similar. The images are preprocessed by segmentation and spatial filtering using the Color Chromaticity Chart. The test results provide evidence that texture based methods can provide a useful metric for distinguishing between some species of plants

Keywords

Fourier transforms; agriculture; biology computing; botany; fractals; frequency-domain analysis; image colour analysis; image segmentation; image texture; photographic applications; spatial filters; Color Chromaticity Chart; agricultural herbicides; fields; image processing methods; plant species identification; preprocessing; segmentation; spatial filtering; substantial cost savings; texture based methods; Control systems; Costs; Crops; Filtering; Filters; Image edge detection; Image processing; Image segmentation; Spraying; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

WESCANEX 95. Communications, Power, and Computing. Conference Proceedings., IEEE

Conference_Location

Winnipeg, Man.

Print_ISBN

0-7803-2725-X

Type

conf

DOI

10.1109/WESCAN.1995.494064

Filename

494064