Digital image analysis of Zostera marina leaf injury

Current methods for assessing leaf injury in Zostera marina (eelgrass) utilize subjective indexes for desiccation injury and wasting disease. Because of the subjective nature of these measures, they are inherently imprecise making them difficult to use in quantifying complex leaf injuries from multiple sources. We have developed a method using color digital photography of eelgrass leaves which are then manipulated using image processing programs and analyzed using geographic digital image analysis. The resulting false color images are then assigned by the user into uninjured and injured groupings which may then be reported as a percentage of leaf area affected. If images are rectified, leaf area (cm(2)) of injured and uninjured leaf segments may be determined. Although this method is time consuming and still requires some subjective judgments, it does allow for precise analysis of highly complex leaf injuries and has the potential to be a substantial improvement over existing leaf injury indexes. Published by Elsevier B.V.