Title
Color Index Based Thresholding Method For Background And Foreground Segmentation Of Plant Images
Abstract
In this paper, the color index based thresholding method for background and foreground segmentation of plant images is presented. The proposed method is implemented with color index approach, for this purpose two color indexes are modified to provide better information about the green color of the plants. Two fixed threshold methods are proposed for the color indexes to discriminate between foreground (green plant) and background (soil). Three versions of the proposed method are presented, these are applied in plant images with controlled conditions and crop images with real environmental conditions. Experimental results demonstrate that the proposed method outperforms other algorithms used as comparative in plant images obtaining a segmentation error of 6.62 +/- 5.85% and a classification ratio of 1.93 +/- 0.05. Also, the proposed method provides better segmentation results in comparison with other well-known state-of-art algorithms in different crop images. Finally, the proposed method does not require of complex calculus and their implementations are straightforward on any device.
Year
DOI
Venue
2020
10.1016/j.compag.2020.105783
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Keywords
DocType
Volume
Color index, Threshold method, Segmentation, Green plants
Journal
178
ISSN
Citations 
PageRank 
0168-1699
1
0.35
References 
Authors
0
5