[Long, Yin; Liu, Chang-Hua; Shuai, Dujuan] Wuhan Polytech Univ, POB 430040, Wuhan, Hubei, Peoples R China.
[Zhang, Fu-Gui] Chinese Acad Agr Sci, Oil Crops Res Inst, POB 430000, Wuhan, Hubei, Peoples R China.
通讯机构：
[Liu, Chang-Hua] W
Wuhan Polytech Univ, POB 430040, Wuhan, Hubei, Peoples R China.
语种：
英文
关键词：
RGB Color Space;Image Segmentation;Color Similarity;Canola Flower
期刊：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2018)
年：
2018
页码：
1–6
会议名称：
2nd International Conference on Computer Science and Application Engineering (CSAE)
会议论文集名称：
CSAE '18: Proceedings of the 2nd International Conference on Computer Science and Application Engineering
会议时间：
OCT 22-24, 2018
会议地点：
Hohhot, PEOPLES R CHINA
会议主办单位：
[Long, Yin;Liu, Chang-Hua;Shuai, Dujuan] Wuhan Polytech Univ, POB 430040, Wuhan, Hubei, Peoples R China.^[Zhang, Fu-Gui] Chinese Acad Agr Sci, Oil Crops Res Inst, POB 430000, Wuhan, Hubei, Peoples R China.
Aiming at1 the problem that the image segmentation effect of canola flower is not ideal under natural light conditions. In this paper, the color similarity judgment model is established based on RGB color space. After several experiments, the appropriate color similarity judgment threshold is determined to classify the canola flower image according to color, in order to complete the segmentation of canola flower. In order to verify the validity of the algorithm, 40 canola images at different flowering stages were taken for comparison experiment...
