Corn tassel detection based on image processing

Wenbing Tang; Yane Zhang; Dongxing Zhang; Wei Yang; Minzan Li

doi:10.1117/12.917672

15 November 2011 Corn tassel detection based on image processing

Wenbing Tang, Yane Zhang, Dongxing Zhang, Wei Yang, Minzan Li

Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83350J (2011) https://doi.org/10.1117/12.917672
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China

Abstract

Machine vision has been widely applied in facility agriculture, and played an important role in obtaining environment information. In this paper, it is studied that application of image processing to recognize and locate corn tassel for corn detasseling machine. The corn tassel identification and location method was studied based on image processing and automated technology guidance information was provided for the actual production of corn emasculation operation. The system is the application of image processing to recognize and locate corn tassel for corn detasseling machine. According to the color characteristic of corn tassel, image processing techniques was applied to identify corn tassel of the images under HSI color space and Image segmentation was applied to extract the part of corn tassel, the feature of corn tassel was analyzed and extracted. Firstly, a series of preprocessing procedures were done. Then, an image segmentation algorithm based on HSI color space was develop to extract corn tassel from background and region growing method was proposed to recognize the corn tassel. The results show that this method could be effective for extracting corn tassel parts from the collected picture and can be used for corn tassel location information; this result could provide theoretical basis guidance for corn intelligent detasseling machine.

Citation Download Citation

Wenbing Tang, Yane Zhang, Dongxing Zhang, Wei Yang, and Minzan Li "Corn tassel detection based on image processing", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83350J (15 November 2011); https://doi.org/10.1117/12.917672

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