Title :
Image processing methods for identifying species of plants
Author :
Dave, Shulin ; Runtz, Ken
Author_Institution :
Regina Univ., Sask., Canada
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;
Conference_Titel :
WESCANEX 95. Communications, Power, and Computing. Conference Proceedings., IEEE
Conference_Location :
Winnipeg, Man.
Print_ISBN :
0-7803-2725-X
DOI :
10.1109/WESCAN.1995.494064
