Title :
Chinese gooseberry stage division based on computer vision
Author :
Zheng, Wanting ; Zhu, Danfeng
Author_Institution :
Dept. of Biomed. Eng., Wenzhou Med. Coll., Wenzhou, China
Abstract :
Chinese gooseberry manual classification exists fault of time-consuming, arduous, costly, less effective etc, but computer vision technology has advantage of high speed, large information content, high precision etc. This paper describes the detection of Chinese gooseberry´s characteristics such as color, shape, size based on computer vision, and then to carry out stage treatment, improves the work efficiency meanwhile reduce the cost.
Keywords :
computer vision; crops; image classification; image colour analysis; Chinese gooseberry characteristics detection; Chinese gooseberry manual classification; Chinese gooseberry stage division; color characteristics; computer vision; shape characteristics; stage treatment; Agriculture; Biomedical measurements; Computational modeling; Computer vision; Computers; Image color analysis; Shape; Chinese gooseberry; color; computer vision; shape; size; stage treatment;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974961
