Welcome to the CAN-EYE web site

CAN-EYE is an imaging software (Windows) used to extract the following canopy structure characteristics from true-color images (either acquired with a fish-eye or with a classic objective)

  • LAI : Leaf Area Index
  • ALA : Average Leaf inclination Angle
  • FAPAR : Fraction of Absorbed Photosynthetically Active Radiation
  • FCOVER : Vegetation cover fraction
  • Bidirectional gap fraction

LogoCanEye1(1)

 
CAN-EYE is a free software developed since 2003 at EMMAH (Environnement Mediterranéen et Modélisation des Agro-Hydrosystèmes) by INRAE (french National Institute of Agronomical research) .

CAN-EYE is designed to process several images at once with optimal performances. The images can be either RGB images or already binarized. It also proposes a module to calibrate the camera + fish-eye lens sytem. CAN-EYE has a set of specific features that improves its efficiency, accuracy, flexibility and traceability: Efficiency : a series of images is typically processed within 2 to 20 minutes, depending on the complexity of the images, the experience of the user and the performances of the used computer. Accuracy : the image conversion into a binarized image (green vegetation/other is performed through an interactive classification process. This provides more flexibility to separate green elements from the sjy or the soil and allows acquiring images from both above or below the canopy. Flexibility : CAN-EYE allows calibrating the imaging system, as well as defining the area of interest. Interactive masking tools allow the user to eliminate parts of the photos contaminated by undesirable objects. Interactive zooming tools are also included. A specific tool is also implemented to taken into account the slope of the terrain Portability : CAN-EYE is very easy to install Traceability : Can-Eye was developed such as all the processing steps are tracked. For these purpose, an html report and output documents (xlexcel format) sand intermediate results are automatically generated by the software.

Redactor: Marie Weiss

can_eye-paca@inrae.fr