Segmentation of Rumex Obtusifolius Using Simple Fuzzy Logic and Gmrf
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 11
Abstract
Rumex obtusifolius is a common weed that is difficult to control. In general, weed control is done by using herbicides because of its adverse environmental impact, Robotic systems are considered as a suitable nonchemical alternative for removing Obtusifolius. Among the existing systems of weed control, only few are applicable to real time applications of weed control. Here we develop a new algorithm for segmentation of rumex obtusifolius. The new algorithm is based on Fuzzy logic and GMRF property that is used for the detection of the weed. Fuzzy logic and markov random fields that works in real time under natural lighting conditions. We also show its performance by comparing it with the existing real time algorithm that uses only markov random fields. This is not only suitable for the detection of the weeds, but also suitable for various general applications like in the detection of the tumors in MRI scanned images, detection of object in an image etc.
Authors and Affiliations
Mohammad Aslam. C, Satya Narayana. D, Padma Priya. K
Keywords
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- EP ID EP392816
- DOI 10.9790/9622-0711030106.
- Views 45
- Downloads 0
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