基于图像纹理特征的养殖鱼群摄食活动强度评估
为了解决循环水养殖中的投喂难题,该文以镜鲤为试验对象,基于计算机视觉技术,提出了一种通过分析鱼群的纹理来评估鱼群摄食活动强度的方法。首先利用均值背景建模重建出没有鱼群的背景图片,提取出目标鱼群,使用灰度共生矩阵对逆差矩、相关性、能量和对比度这4个纹理特征进行分析,得到鱼群的摄食活动强度。试验结果表明通过鱼群纹理的对比度与传统方法面积法得到的鱼群摄食活动强度,其线性决定系数可达0.894 2,说明该方法可以用来表征鱼群的摄食活动强度,研究结果为鱼群的摄食活性强度测量提供了一种参考方法。...
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| Published in | 农业工程学报 Vol. 33; no. 5; pp. 232 - 237 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
国家农业信息化工程技术研究中心,农业部农业信息技术重点实验室,北京市农业物联网工程技术研究中心,北京100097%太原理工大学信息工程学院,太原,030024%国家农业信息化工程技术研究中心,农业部农业信息技术重点实验室,北京市农业物联网工程技术研究中心,北京100097
2017
太原理工大学信息工程学院,太原030024 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1002-6819 |
| DOI | 10.11975/j.issn.1002-6819.2017.05.034 |
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| Abstract | 为了解决循环水养殖中的投喂难题,该文以镜鲤为试验对象,基于计算机视觉技术,提出了一种通过分析鱼群的纹理来评估鱼群摄食活动强度的方法。首先利用均值背景建模重建出没有鱼群的背景图片,提取出目标鱼群,使用灰度共生矩阵对逆差矩、相关性、能量和对比度这4个纹理特征进行分析,得到鱼群的摄食活动强度。试验结果表明通过鱼群纹理的对比度与传统方法面积法得到的鱼群摄食活动强度,其线性决定系数可达0.894 2,说明该方法可以用来表征鱼群的摄食活动强度,研究结果为鱼群的摄食活性强度测量提供了一种参考方法。 |
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| AbstractList | S951.2%TP391.41; 为了解决循环水养殖中的投喂难题,该文以镜鲤为试验对象,基于计算机视觉技术,提出了一种通过分析鱼群的纹理来评估鱼群摄食活动强度的方法.首先利用均值背景建模重建出没有鱼群的背景图片,提取出目标鱼群,使用灰度共生矩阵对逆差矩、相关性、能量和对比度这4个纹理特征进行分析,得到鱼群的摄食活动强度.试验结果表明通过鱼群纹理的对比度与传统方法面积法得到的鱼群摄食活动强度,其线性决定系数可达0.894 2,说明该方法可以用来表征鱼群的摄食活动强度,研究结果为鱼群的摄食活性强度测量提供了一种参考方法. 为了解决循环水养殖中的投喂难题,该文以镜鲤为试验对象,基于计算机视觉技术,提出了一种通过分析鱼群的纹理来评估鱼群摄食活动强度的方法。首先利用均值背景建模重建出没有鱼群的背景图片,提取出目标鱼群,使用灰度共生矩阵对逆差矩、相关性、能量和对比度这4个纹理特征进行分析,得到鱼群的摄食活动强度。试验结果表明通过鱼群纹理的对比度与传统方法面积法得到的鱼群摄食活动强度,其线性决定系数可达0.894 2,说明该方法可以用来表征鱼群的摄食活动强度,研究结果为鱼群的摄食活性强度测量提供了一种参考方法。 |
| Abstract_FL | Abstraet:Currently,about 60％ of the world's fish come from China.China is the biggest aquaculture country in the world.However,China's traditional aquaculture farming method still plays an important role.This will lead to a waste of human resources and land resources.In recent years,more than 90％ of the fish farming workers prefer to apply RAS (recirculating aquaculture system),because RAS not only creates a good rearing condition and feed utilization environment for the good growth of the shoal,but also provides a necessary prerequisite for the sustainable development of the aquaculture.Although RAS is more convenience,it still has a lot of problems:the over-feeding events continue to affect the welfare of shoal,the operation of system also influences the growth and survival of shoal,and in addition,the water quality of the system increases the risk of diseases and leads to the extra-load on the mechanical filters,bio-filters and oxygenation equipment.Therefore,the most direct and effective way to solve these problems is to determine the amount of feeding activities according to the appetite of the shoal.In actual operation,manual observation is an effective method.But,on the one hand,this way requires fish-farming workers to pay the labor and time costs.On the other hand,the most difficult problem is how to measure feeding activity.This is because the result of visual observation for the shoal appetite is often hampered by high shoal density and some other unfavorable factors.In recent years,several methods have been developed to enable the tracking of several fish in the same tank,but these methods are invasive,potentially disturbing,or need restricting conditions.In order to solve this problem,a novel method,with the help of the original method based on image texture of the Cyprinus carpio specularis,is proposed to evaluate the feeding activity of the shoal.With this method,the feeding activity of Cyprinus carpio specularis is recorded by a camera mounted on the rearing tank.Then,the video is decomposed into a sequence of frame images,the background interference is removed,and the foreground object is extracted.Next,the texture of shoal is extracted by using gray level co-occurrence matrix.By this way,it can avoid the interference of surface vibration,spray and other adverse factors.At last,we find out the similarity and difference of the texture features.To sum up the above arguments,this method can be used for the quantifying analysis of the feeding activity of the shoal.To evaluate the reliability of shoal image texture,the other way is put forward to quantify the feeding activity of shoal.Before this research,the diffusion and aggregation indices used by some researchers describe the feeding activity of shoal.The index is calculated by summing the individual area of each group.A group is a single black area created by the outlines of overlapping fish.Using this method,it is easy to observe that when the shoal is spreading,the index will be high,and otherwise,the index will be low.The determination coefficient for the above methods is 0.894 2.Hence,the feeding activity of shoal can be quantified by the image texture.This method provides a sensitive,non-invasive,simple and widely applicable tool to quantify the behavior changes associated with the various challenges in aquaculture conditions. |
| Author | 陈彩文 杜永贵 周超 孙传恒 |
| AuthorAffiliation | 太原理工大学信息工程学院,太原030024 国家农业信息化工程技术研究中心、农业部农业信息技术重点实验室、北京市农业物联网工程技术研究中心,北京100097 |
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| Keywords | 鱼群面积 纹理 area of shoal textures 计算机视觉 灰度共生矩阵 鱼群摄食活动强度 computer vision feeding activity of shoal gray level cooccurrence matrix 图像识别 image recognition |
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| Notes | Chen Caiwen1,2, Du Yonggui1, Zhou Chao2, Sun Chuanheng2 （1. College of Information and Technology, Taiyuan University of Technology, Taiyuan 030024, China; 2. National Engineering Research Center for Information Technology in Agriculture, Key Laboratory of Agri-informatics, Ministry of Agiculture, Beijing Engineering Research Center of Agricultural lnternet of Things, Beijing 100097, China） Currently,about 60%of the world’s fish come from China.China is the biggest aquaculture country in the world.However,China’s traditional aquaculture farming method still plays an important role.This will lead to a waste of human resources and land resources.In recent years,more than 90%of the fish farming workers prefer to apply RAS（recirculating aquaculture system）,because RAS not only creates a good rearing condition and feed utilization environment for the good growth of the shoal,but also provides a necessary prerequisite for the sustainable development of the aquaculture.Although RAS is more convenience,it still has a |
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| PublicationTitle | 农业工程学报 |
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| PublicationYear | 2017 |
| Publisher | 国家农业信息化工程技术研究中心,农业部农业信息技术重点实验室,北京市农业物联网工程技术研究中心,北京100097%太原理工大学信息工程学院,太原,030024%国家农业信息化工程技术研究中心,农业部农业信息技术重点实验室,北京市农业物联网工程技术研究中心,北京100097 太原理工大学信息工程学院,太原030024 |
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| SubjectTerms | 图像识别 灰度共生矩阵 纹理 计算机视觉 鱼群摄食活动强度 鱼群面积 |
| Title | 基于图像纹理特征的养殖鱼群摄食活动强度评估 |
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