An image-based approach for automatic detecting tasseling stage of maize using spatio-temporal saliency

Mengni Ye; Zhiguo Cao; Zhenghong Yu

doi:10.1117/12.2031024

26 October 2013 An image-based approach for automatic detecting tasseling stage of maize using spatio-temporal saliency

Mengni Ye, Zhiguo Cao, Zhenghong Yu

Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 89210Z (2013) https://doi.org/10.1117/12.2031024
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

In this paper, we explored the application of computer vision technology to automatically detect the tasseling stage of maize. The commonly used HOG/SVM detection framework is chosen to recognize the ears of maize for determining the occurrence time of the stage. However, it cannot guarantee high precision rate. Thus, we proposed a new method called Spatio-temporal Saliency Mapping to highlight the ear while suppress the background, which significantly improve the detection performance. Comparing experiment has been carried out to testify the validity of our method and the results indicate that our method can meet the demand for practical observation.

Citation Download Citation

Mengni Ye, Zhiguo Cao, and Zhenghong Yu "An image-based approach for automatic detecting tasseling stage of maize using spatio-temporal saliency", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89210Z (26 October 2013); https://doi.org/10.1117/12.2031024

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