REVIEW OF APPLICATION OF MATHEMATICAL MORPHOLOGY IN CROP DISEASE RECOGNITION

被引：0

作者：

Diao, Zhihua ^{[2
]}

Zhao, Chunjiang ^{[1
]}

Wu, Gang ^{[2
]}

Qiao, Xiaojun ^{[1
]}

机构：

[1] Natl Engn Res Ctr Informat Technol Agr, Shuguang Huayuan Middle Rd 11, Beijing 100097, Peoples R China

[2] Univ Sci & Technol, Dept Automat, Anhua 230027, Peoples R China

来源：

COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 2 | 2009年 / 295卷

基金：

国家高技术研究发展计划(863计划);

关键词：

binary morphology; gray-level morphology; color morphology; erosion; dilation; crop disease; THEORETICAL FOUNDATIONS; IMAGES;

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Mathematical morphology is a non-linear image processing method with two-dimensional 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.

引用

页码：981 / +

页数：3

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