As a non-linear image processing method with two-dimensional convolution operation

mathematical morphology is divided into 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 current progress

this paper gives a comprehensive expatiation on the mathematical morphology classification and application of image processing of crop disease. In the end

open problems and further research of mathematical morphology are discussed.