Review of application of mathematical morphology in crop disease recognition

Abstract

Mathematical morphology is a non-linear image processing method with twodimensional convolution operation, including binary morphology, gray-level morphology and color morphology. Erosion, dilation, opening operation and closing operation are the basis of mathematical morphology. Mathematical morphology can be used for edge detection, image segmentation, noise elimination, feature extraction and other image processing problems. It has been widely used in the field of image processing. Based on the current progress, this thesis gives a comprehensive expatiation on the mathematical morphology classification and application of crop disease recognition. In the end, open problems and the further research of mathematical morphology are discussed. © 2009 Springer Science+Business Media, LLC.