# REVIEW OF APPLICATION OF MATHEMATICAL MORPHOLOGY IN CROP DISEASE RECOGNITION

• Zhihua Diao
• Chunjiang Zhao
• Gang Wu
• Xiaojun Qiao
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 294)

## 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.

## Keywords

Image Segmentation Edge Detection Mathematical Morphology Edge Detection Algorithm Edge Detection Method

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## Authors and Affiliations

• Zhihua Diao
• 1
• Chunjiang Zhao
• 2
• Gang Wu
• 1
• Xiaojun Qiao
• 2
1. 1.Department of AutomationUniversity of Science and Technology of ChinaHeFeiChina
2. 2.National Engineering Research Center for Information Technology in AgricultureBeijingChina