PLANT IDENTIFICATION USING COLOR CO-OCCURRENCE MATRICES
ABSTRACT A method of identifying plants based on color texture characterization of canopy sections was developed. Color co-occurrence matrices were derived from image matrices, one for each color attribute: intensity, saturation, and hue. Eleven texture features were calculated from each of the co-occurrence matrices. The 33 total color texture features were used in a discriminant analysis model to identify plants. Overall classification accuracy of 91% was achieved when this method was used to identify seven common cultivars of nursery stock. A total of 350 observations were used in the investigation. This method exhibited a significant improvement over previous methods which used intensity data only.