Title :
Grain Counting Method Based On Image Processing
Author :
Zhao Ping ; Li Yongkui
Author_Institution :
Eng. Coll., Shenyang Agric. Univ., Shenyang, China
Abstract :
Grain counting is very important for breeding and quality inspection. In order to improve the efficiency and precision of grain counting, a novel method based on MATLAB image processing technology and mechanical vibration technology was proposed. It can effectively resolve the overlaps and conglutinations among grains by mechanical vibration and image erosion processing respectively. Experiment results show that this method is Convenient, efficient and high-precision. At the same time, it establishes necessarily theoretical and practical basis for further studies, and may be important to perfect "precision agriculture".
Keywords :
agriculture; crops; image processing; vibrations; MATLAB image processing technology; breeding; grain counting method; mechanical vibration technology; precision agriculture; quality inspection; Color; Containers; Digital cameras; Filtering; Gray-scale; Image processing; MATLAB; Noise reduction; Pixel; Vibrations;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5364719