Rapid Detection of Rice Disease Based on FCM-KM and Faster R-CNN Fusion

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Zhou, Guoxiong*;Zhang, Wenzhuo;Chen, Aibin*;He, Mingfang;Ma, Xueshuo

通讯作者：

Zhou, Guoxiong;Chen, Aibin

作者机构：

[Zhang, Wenzhuo; Chen, Aibin; Ma, Xueshuo; Zhou, Guoxiong; He, Mingfang] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Hunan, Peoples R China.

通讯机构：

[Zhou, GX; Chen, AB] C

Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Hunan, Peoples R China.

语种：

英文

关键词：

Chaos theory;faster R-CNN;firefly algorithm;K-means clustering algorithm;Otsu threshold segmentation;rice disease detection;weighted multistage median filter

期刊：

IEEE ACCESS

ISSN：

2169-3536

年：

2019

卷：

页码：

143190-143206

DOI：

10.1109/ACCESS.2019.2943454

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61703441]

机构署名：

本校为第一且通讯机构

院系归属：

计算机与信息工程学院

摘要：

In this paper, a method for detecting rapid rice disease based on FCM-KM and Faster R-CNN fusion is proposed to address various problems with the rice disease images, such as noise, blurred image edge, large background interference and low detection accuracy. Firstly, the method uses a two-dimensional filtering mask combined with a weighted multilevel median filter (2DFM-AMMF) for noise reduction, and uses a faster two-dimensional Otsu threshold segmentation algorithm (Faster 2D-Otsu) to reduce the interference of complex background with the detection of target blade in the image. Then the dyn...

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Rapid Detection of Rice Disease Based on FCM-KM and Faster R-CNN Fusion

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