DocumentCode
483293
Title
Research on Segmentation Methods of Weed and Soil Background Under HSI Color Model
Author
Li Dong-ming ; Wang Yuan-zhi ; Du Bo
Author_Institution
Mech. & Electr. Coll., Agric. Univ. of Hebei, Baoding
fYear
2009
fDate
23-25 Jan. 2009
Firstpage
628
Lastpage
631
Abstract
In view of the complex background in the weed detection, the research used the H component under HSI the color model to divide the soil background. Considered the real-time operation, it used the automatic threshold value segmentation method, and carried on the suitable erosion and dilation, realized the weed area and the background area segmentation. The result indicated that it was possible of using above methods to obtain suited to segmentation of color space and the color characteristic component; therefore, it was practical and effective for threshold value parameter as the attribute image color information to segment weed from background area.
Keywords
computer vision; image colour analysis; image segmentation; HSI color model; dilation; erosion; image segmentation; machine vision; soil; weed; Computer displays; Data mining; Educational institutions; Image analysis; Image processing; Image segmentation; Image storage; Machine vision; Soil; Spraying; dilation; erosion; image segmentation; machine vision; weed detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location
Moscow
Print_ISBN
978-0-7695-3543-2
Type
conf
DOI
10.1109/WKDD.2009.113
Filename
4772015
Link To Document