Identification of Tapping Panel Dryness in Hevea brasiliensis Based on Threshold Segmentation Algorithm

摘要：

　　The tapping panel dryness(TPD)in Hevea brasiliensis is a complex physiological syndrome and seriously affects the yield of the natural latex from rubber tree.The study of TPD is of great significance for improving the yield of latex.The traditional artificial recognition of TPD has a certain deviation due to the high precision of grading workload,so the impact of TPD cannot be paid attention to in time.This paper uses image processing technology in the field of information science to identify the TPD,and uses image segmentation to determine the level of TPD,thus greatly reducing the artificial judgment of the TPD level of misjudgment rate.

关键词： image processing image segmentation TPD threshold segmentation algorithm

作者: Jie Zhang Pan Zhou Jihong Long

作者单位: School of Hainan University,Haikou 570100,China

会议类型: 国际会议

会议名称: 2018 3rd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2018) 2018第三届材料科学、机械与能源工程国际会议(MSMEE 2018)

会议地点: 太原

会议语种:英文

页码: 258-262

在线出版日期: 2018-06-29（万方平台首次上网日期，不代表论文的发表时间）