Background segmentation of corn seedling stage base on the greenness method

Author

Yue Xua ; Zenghui Wang ; DongYan Wang

Author_Institution

Coll. of Inf. & Technol., Jilin Agric. Univ., Changchun, China

Volume

4

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

1991

Lastpage

1994

Abstract

Background segmentation is the key step in image processing. The greenness method can satisfy the request of background segmentation of corn crops. Aiming at the different distribution of corn seedling stage in the field, segmentation operator of the greenness method is based on the ratios of R, G and B pixels in the total pixels. By researching on clear and unclear image of distribution between background and vegetation, the segmentation edge is found. By simulation, the greenness method can successfully divide image into background and vegetation.

Keywords

agricultural products; image colour analysis; image segmentation; vegetation; background segmentation; color feature; corn crops; corn seedling stage; greenness method; image processing; segmentation edge; segmentation operator; Agriculture; Educational institutions; Image color analysis; Image edge detection; Image segmentation; MATLAB; Vegetation mapping; background segmentation; color feature; the greenness method;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang, China

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023492

Filename

6023492