A hybrid approach for efficient detection of plastic mulching films in cotton

Author:

Fang Jingjing,Jiang Yu,Yue Jun,Wang Zhicheng,Li Daoliang,Li Zhenbo

Funder

Chinese Universities Scientific Fund

National Natural Science Foundation of China

National Science and Technology Support Program

Science and Technology Development Plan of Shandong Province

Natural Science Foundation of Shandong Province

Agriculture Science Technology Achievement Transformation Fund

New Century Excellent Talents in University

Publisher

Elsevier BV

Subject

Computer Science Applications,Modelling and Simulation

Reference12 articles.

1. Feature selection for cotton foreign fiber objects based on improved ant colony algorithm;Zhao;Transactions of the Chinese Society for Agricultural Machinery,2011

2. C. Zhang, X. Feng, L. Li, et al. Identification of cotton contaminants using neighborhood gradient based on YCbCr color space, in: Proceedings of the 2nd International Conference on Signal Processing Systems, ICSPS, Vol. 3, 2010, pp. 733–738.

3. Toward image segmentation of foreign fibers in lint;Yang;Transactions of the Chinese Society for Agricultural Machinery,2009

4. A fast segmentation method for high-resolution color images of foreign fibers in cotton;Zhang;Computers and Electronics in Agriculture,2011

5. Object detection with discriminatively trained part based models;Felzenszwalb;IEEE Transactions on PAMI,2010

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1. Optical properties of cotton and mulching film and feature bands selection in the 400 to 1120 nm range;Computers and Electronics in Agriculture;2024-04

2. 基于光学成像的棉花异性纤维检测方法研究进展;Laser & Optoelectronics Progress;2021

3. A Simulated Annealing White Balance Algorithm for Foreign Fiber Detection;Proceedings of the 2nd International Conference on Biomedical Engineering and Bioinformatics - ICBEB 2018;2018

4. Effective Wavelengths Selection of Hyperspectral Images of Plastic Films in Cotton;Computer and Computing Technologies in Agriculture IX;2016

5. A fast image segmentation algorithm for detection of pseudo-foreign fibers in lint cotton;Computers & Electrical Engineering;2015-08

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