Crop extraction based on ultra-simple neural network modeling in the normalized rgb and CIE L*a*b* color spaces

Lei Hu; Xiaodong Bai; Aiping Yang; Kun Zhang; Chonghua Zhang; Bo Liu

doi:10.1117/12.2541856

14 February 2020 Crop extraction based on ultra-simple neural network modeling in the normalized rgb and CIE L*a*b* color spaces

Lei Hu, Xiaodong Bai, Aiping Yang, Kun Zhang, Chonghua Zhang, Bo Liu

Author Affiliations +

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 114301V (2020) https://doi.org/10.1117/12.2541856
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

Crop extraction from the images captured in the field is a complex task. In this paper, a new crop segmentation method is presented based on a designed lightweight neural network which only has 5-layer. In the proposed method, the lightweight neural network is designed and constructed to deal with the crop color features in the normalized RGB and CIE L*a*b* color spaces to realized the accurate segmentation of crop images. To verify the performance of the proposed method, 120 rice images are utilized to compare the proposed method with four other famous approaches. Experiment demonstrates that our method is robust to the illumination variations in the field and performed better than other approaches. Experiment shows our method can be used to the task of crop segmentation accurately and efficiently.

Citation Download Citation

Lei Hu, Xiaodong Bai, Aiping Yang, Kun Zhang, Chonghua Zhang, and Bo Liu "Crop extraction based on ultra-simple neural network modeling in the normalized rgb and CIE L*a*b* color spaces", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114301V (14 February 2020); https://doi.org/10.1117/12.2541856

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available