|Table of Contents|

Study on Image Segmentation for Bagged Apple(PDF)

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2017年08
Page:
6-9
Research Field:
Publishing date:

Info

Title:
Study on Image Segmentation for Bagged Apple
Author(s):
ZHANG Wanhong; ZHU Yuanjun
(Institute of Soil and Water Conservation，Northwest A & F University，Yangling，Shaanxi 712100)
Keywords:
bagged apple; R; G and B values distribution characteristics; image segmentation
PACS:
-
DOI:
10.11937/bfyy.201708002
Abstract:
In order to accurately segment of bagged apple，the feature of R，G and B values of RGB mode for bagged apple and other targets image was analyzed，and then the bagged apples were segmented based on the difference of R，G and B values of each target.Compared the results of image segmentation obtained by R，G and B distribution with the results obtained by the multiple threshold and K-means clustering analysis.The results indicated that the image segmentation method based on the R，G and B distribution was better than multiple threshold and K-means clustering analysis.Meanwhile，computing the identification rate of apple on the basis of image segmentation using the method of R，G and B distribution，the results showed that the identification rate was 93.4%.Consequently，it could be concluded that the image segmentation with the help of R，G and B distribution was reliable.

References:

 

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Last Update: 2017-04-28