ISWC OpenIR  > 水保所知识产出(1956-2013)
套袋苹果影像的分割方法研究
张万红; 朱元骏
2017
Source Publication北方园艺
Volume2017Issue:8Pages:6-9
Abstract

:为了准确识别并分割套袋苹果,对影像中的套袋苹果及其背景在RGB颜色空间模
式下,分析各目标物的R(红)、G(绿)及B(蓝)值分布特征,根据各目标物所呈现的R、G及B值差
异选取适合于套袋苹果的分割条件,对套袋苹果进行分割,将分割结果与多阈值分割法以及K均
值聚类法分割结果进行比较。结果表明:分割法优于以上2种方法,同时,根据该试验提出的分
割方法计算苹果识别率,识别率可达93.4%,表明该试验算法对套袋苹果的分割准确率高。

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
Language中文
Document Type期刊论文
Identifierhttp://ir.iswc.ac.cn/handle/361005/8472
Collection水保所知识产出(1956-2013)
Affiliation西北农林科技大学水土保持研究所
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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