Image-based plant stornata phenotyping

  title={Image-based plant stornata phenotyping},
  author={Hamid Laga and Fahimeh Shahinnia and Delphine Fleury},
  journal={2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)},
We propose in this paper a fully automatic approach for image-based plant stornata phenotyping. Given a microscopic image of a plant leaf surface, our goal is to automatically detect stornata cells and measure their morphological and structural features, such as stornata opening length and width, and size of the guard cells. The main challenge in developing such tool is the lack of contrast between the stornata cell region and its surrounding background. Our approach uses template matching to… CONTINUE READING