Analyze and Compare the Function of Several Common Operators in Feature Extraction on Cotton Diseases
Jianchi Sun, Cao Yuan
Available Online December 2017.
- https://doi.org/10.2991/mcei-17.2017.100How to use a DOI?
- Feature extraction; Cotton leaf; Analyze and compare; Operator
- Cotton is the main plant of braided fabric in China, the production of cotton planting is important, but cotton are caused by diseases and insect pests easily in planting, so in the process of farming, some useful information of cotton diseases should be achieved easily and can be analyzed effectively, so some accurate and effective actions can be done. In the paper, cotton leaf as the research object, the main diseases are introduced, how to detect the main diseases is the important step in modern agricultural digital technology. In the paper, cotton leaf as the object of research, the main features of apple leafs should be reserved, and the special features of the disease region in apple leaf should be emphasized effective. The novel algorithm based on color components and edge extraction algorithms. More than 500 results of main cotton image with the main diseases can be compared by main operator algorithms and color components, analyze the results of different cotton diseases and operators, the new algorithm based on color difference and morphological features be precedence than other algorithms in the main cotton diseases.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jianchi Sun AU - Cao Yuan PY - 2017/12 DA - 2017/12 TI - Analyze and Compare the Function of Several Common Operators in Feature Extraction on Cotton Diseases BT - 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/mcei-17.2017.100 DO - https://doi.org/10.2991/mcei-17.2017.100 ID - Sun2017/12 ER -