Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 456114
Title Segmentation of Rumex obtusifolius using Gaussian Markov random fields
Author(s) Atni Hiremath, S.; Tolpekin, V.A.; Heijden, G. van der; Stein, A.
Source Machine Vision Applications 24 (2013)4. - ISSN 0932-8092 - p. 845 - 854.
DOI http://dx.doi.org/10.1007/s00138-012-0470-0
Department(s) Biometris (WU MAT)
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) energy minimization - texture features - weed-control - graph cuts - classification - systems - imagery - vision
Abstract Rumex obtusifolius is a common weed that is difficult to control. The most common way to control weeds-using herbicides-is being reconsidered because of its adverse environmental impact. Robotic systems are regarded as a viable non-chemical alternative for treating R. obtusifolius and also other weeds. Among the existing systems for weed control, only a few are applicable in real-time and operate in a controlled environment. In this study, we develop a new algorithm for segmentation of R. obtusifolius using texture features based on Markov random fields that works in real-time under natural lighting conditions. We show its performance by comparing it with an existing real-time algorithm that uses spectral power as texture feature. We show that the new algorithm is not only accurate with detection rate of 97.8 % and average error of 56 mm in estimating the location of the tap-root of the plant, but is also fast taking just 0.18 s to process an image of size pixels making it feasible for real-time applications.
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