[1]姚巧鸽,夏银红.基于邻域算法的农业害虫图像分割[J].江苏农业科学,2017,45(11):174-177.
 Yao Qiaoge,et al.Image segmentation of agricultural pest based on neighborhood relationship algorithm[J].Jiangsu Agricultural Sciences,2017,45(11):174-177.
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基于邻域算法的农业害虫图像分割()

《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第45卷
期数:
2017年11期
页码:
174-177
栏目:
农业工程与信息技术
出版日期:
2017-06-05

文章信息/Info

Title:
Image segmentation of agricultural pest based on neighborhood relationship algorithm
作者:
姚巧鸽1 夏银红2
1.黄淮学院信息工程学院,河南驻马店 463000; 2.黄淮学院数学与统计学院,河南驻马店 463000
Author(s):
Yao Qiaogeet al
关键词:
邻域关系像素聚类权重农业害虫图像分割
Keywords:
-
分类号:
TP391.41
DOI:
-
文献标志码:
A
摘要:
针对分割农业害虫图像时不能区分相邻灰度值的问题,提出邻域算法。首先确定像素的邻域度,像素的邻域通过移除低于某一给定阈值的所有边并将所有相连的样本点作为域类而获得;然后采用基于关系权重方法区分邻域类别,从全局的角度衡量了每个特征项对所有类别的区分能力;接着基于可变聚类半径对像素数据排重,删除重复性数据;最后给出了算法流程。仿真试验结果表明,本研究算法分割农业害虫图像的效果清晰,消耗的时间较少。
Abstract:
-

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-11-18
基金项目:河南省高等学校重点科研项目(编号:16B510003);黄淮学院青年教师科研能力提升项目(编号:201512711)。
作者简介:姚巧鸽(1984—),女,河南洛阳人,硕士,讲师,主要从事图像信号处理、嵌入式技术等研究。E-mail:xj20142015@foxmail.com。
通信作者:夏银红,硕士,讲师,主要从事计算数学、算法研究及应用。E-mail:xyh2017@foxmail.com。
更新日期/Last Update: 2017-06-05