Automatic dragon fruit counting using adaptive thresholds for image segmentation and shape analysis

被引：0

作者：

Chi Cuong Tran ^{[1
]}

Dinh Tu Nguyen ^{[1
]}

Hoang Dang Le ^{[1
]}

Quoc Bao Truong ^{[1
]}

Quoc Dinh Truong ^{[2
]}

机构：

[1] CanTho Univ, Coll Engn Technol, Can Tho, Vietnam

[2] CanTho Univ, Coll Informat & Commun Technol, Can Tho, Vietnam

来源：

2017 4TH NAFOSTED CONFERENCE ON INFORMATION AND COMPUTER SCIENCE (NICS) | 2017年

关键词：

Automatic fruit counting; Color space; Image segmentation; Shape analysis; Size estimation; Identification of oversegmentation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years there have been many proposals for automated applications in vegetable harvesting. There are two major challenges: estimation of yield and harvesting of fruit trees. This research proposes a new algorithm that allows accurate counting of the number of fruits on a tree to accurately estimate the output of a dragon fruit. The algorithm consists of the following main steps: image segmentation, boundary determination, shape analysis, and overlap analysis to count the number of dragon fruits per tree. Experimental results show that the algorithm can solve the problem of counting the correct number of fruits per tree to accurately estimate the yield of dragon fruit in the farm.

引用

页码：132 / 137

页数：6

共 12 条

[1]

[Anonymous], [No title captured]

[2]

Basilio Jorge Alberto Marcial, 2011, Applications of Mathematics and Computer Engineering. American Conference on Applied Mathematics (AMERICAN-MATH'11). 5th WSEAS International Conference on Computer Engineering and Applications (CEA'11), P123

[3]

de Solorzano CO, 2006, J MICROSC-OXFORD, V222, P67

[4] An improved approach for the segmentation of starch granules in microscopic images [J].