Method for Segmenting Tomato Plants in Uncontrolled Environments

@inproceedings{HernndezRabadn2012MethodFS,
  title={Method for Segmenting Tomato Plants in Uncontrolled Environments},
  author={Deny Lizbeth Hern{\'a}ndez-Rabad{\'a}n and Julian Guerrero and Fernando Ramos-Quintana},
  year={2012}
}
Segmenting vegetation in color images is a complex task, especially when the background and lighting conditions of the environment are uncontrolled. This paper proposes a vegetation segmentation algorithm that combines a supervised and an unsupervised learning method to segment healthy and diseased plant images from the background. During the training stage, a Self-Organizing Map (SOM) neural network is applied to create different color groups from a set of images containing vegetation… CONTINUE READING

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