ISWC OpenIR  > 水保所知识产出(1956---)
张万红; 朱元骏
Source Publication北方园艺


Other 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.

Keyword套袋苹果 R、g和b值分布特征 影像分割
Indexed By中文核心期刊要目总览
Document Type期刊论文
Recommended Citation
GB/T 7714
张万红,朱元骏. 套袋苹果影像的分割方法研究[J]. 北方园艺,2017,2017(8):6-9.
APA 张万红,&朱元骏.(2017).套袋苹果影像的分割方法研究.北方园艺,2017(8),6-9.
MLA 张万红,et al."套袋苹果影像的分割方法研究".北方园艺 2017.8(2017):6-9.
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