The edge extraction of agricultural crop leaf

Beilei Wang; Ying Cao; Huiming Xiao; Huiyan Jiang; Hongjuan Liu

doi:10.1117/12.836721

10 July 2009 The edge extraction of agricultural crop leaf

Beilei Wang, Ying Cao, Huiming Xiao, Huiyan Jiang, Hongjuan Liu

Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 748916 (2009) https://doi.org/10.1117/12.836721
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

Abstract

In agricultural engineering, to ensure rational use of pesticide and improvement of crop production, computer image recognition technology is currently applied to help farmers to identify the degree of crop diseases. Considering the importance of feature extraction in this field, in this paper, we first present and discuss several widely used edge operator, including Sobel, Prewitt, Roberts, Canny and LoG. Furthermore, an experiment is conducted to compare performance and accuracy of five operators by applying them to a leaf image taken from agricultural crop for edge detection. The results of experiment show that, in practice, LoG edge operator is relatively a better choice and performs well for edge detection of agricultural crop leaf image.

Citation Download Citation

Beilei Wang, Ying Cao, Huiming Xiao, Huiyan Jiang, and Hongjuan Liu "The edge extraction of agricultural crop leaf", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 748916 (10 July 2009); https://doi.org/10.1117/12.836721

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