LOCUST IMAGE SEGMENTATION USING PULSE-COUPLED NEURAL NETWORK

机译：基于脉冲耦合神经网络的局部图像分割

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The main objective of this study was to evaluate the feasibility of identifying locusts by the image segmentation method based on pulse-coupled neural network (PCNN). Segmentation results by simplified PCNN and traditional morphology open operation method were given. The simulation results demonstrated that the PCNN was powerful enough to perform the detecting.

机译：这项研究的主要目的是评估基于脉冲耦合神经网络（PCNN）的图像分割方法识别蝗虫的可行性。给出了简化的PCNN和传统形态学开放操作方法的分割结果。仿真结果表明，PCNN具有足够的功能来执行检测。

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来源
《IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN)》|2007年|P.1359-1360|共2页
会议地点 Wuyishan(CN)
作者
Xuemei Xiong; Yiming Wang;
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作者单位

College of Information and Electrical Engineering, China Agricultural University, 100083 Beijing, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类电子技术、计算机技术在农业上的应用;
关键词
pulse-coupled neural network; image segmentation; locusts detection;

机译：脉冲耦合神经网络图像分割蝗虫检测;

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2. Image Segmentation Based on Modified Pulse-Coupled Neural Networks [J] . ZHANG, Junying, FAN, 电子学报：英文版 . 2007,第001期

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3. An Overview of Image Segmentation Based on Pulse-Coupled Neural Network [J] . Lian Jing, Yang Zhen, Liu Jizhao, Archives of Computational Methods in Engineering . 2021,第2期

机译：基于脉冲耦合神经网络的图像分割概述
4. Locust Image Segmentation Using Pulse-coupled Neural Network [C] . Xuemei Xiong, Yiming Wang IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture . 2008

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LOCUST IMAGE SEGMENTATION USING PULSE-COUPLED NEURAL NETWORK

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