检索结果-内蒙古大学图书馆

Underwater swimming fish mass estimation based on binocular vision

AQUACULTURE INTERNATIONAL 2024年第6期32卷 7973-7995页

作者： Hao, Yinfeng Guo, Shengkui Zhou, Xinhui Yin, Hongjian Henan Univ Henan Key Lab Big Data Anal & Proc Kaifeng 475004 Henan Peoples R China Henan Univ Sch Comp & Informat Engn Kaifeng 475004 Henan Peoples R China

Fish mass is important to optimize daily feeding, control stocking densities, and ultimately determine optimal harvest time. Currently fish mass mainly relies on manual measurements, which is not only time consuming and laborious but also brings stress to fish, and even causes death. However, fish different postures and tail deformation during swimming are challenging for binocular vision to precisely measure mass in unconstrained underwater environment. This study creatively introduces the angle between space vectors to select fish postures, and develop mass prediction model based on length of fish without tail fin. Firstly, three-dimensional coordinates of feature point obtained by convex hull algorithm are calculated by information fusion based on depth images and RGB images from instance segmentation. Secondly, the angle between fish body long axis and camera optical axis is first proposed to select good fish posture for length estimation. Finally, the relationship model between mass and length without considering tail fins is constructed, and subsequently this model has been tested on test datasets. We conducted experiments with Oplegnathus punctatus as an example, and experimental results show that the method can achieve non-contact precise measurement of underwater fish mass, which can be further used to estimate fish mass in densely breeding environment.

关键词： Fish mass No-contact measurement Fish posture convex hull algorithm Binocular vision

来源：评论

学校读者我要写书评

暂无评论

Approaches to Determine the Geometric Parameters of Liquid Droplets Using Digital Image Analysis

引用

OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING 2024年第2期60卷 197-205页

作者： Nazarov, N. A. Baranov, I. N. Miskiv, N. B. Starinskaya, E. M. Russian Acad Sci Kutateladze Inst Thermophys Siberian Branch Novosibirsk 630090 Russia Novosibirsk State Univ Novosibirsk 630090 Russia

Spray cooling, droplet interaction with complex surfaces, and droplet evaporation from solid walls are promising areas of research. These experiments require automated digital image processing, particularly when recording large amounts of video data. This paper presents methods for recognition of objects in digital images in order to obtain quantitative characteristics of evaporating droplets in low-light conditions. New algorithms have been developed to identify and close object boundaries in conditions of limited visibility, enabling measurement of the geometric parameters of evaporating droplets. A comparison is made with data obtained using manual image processing, and the usability conditions of the proposed algorithms are demonstrated.

关键词： digital image processing evaporating drops sessile and suspended droplets boundary detection polynomial boundary closure convex hull algorithm

来源：评论

学校读者我要写书评

暂无评论

A Behavior Observation Tool (BOT) for Mobile Device Network Connection Logs 23

A Behavior Observation Tool (BOT) for Mobile Device Network ...

引用

23rd International Conference on World Wide Web (WWW)

作者： Wang, Ting SAP Asia Pte Ltd 1 Create Way14-01 CREATE Bldg Singapore 138602 Singapore

ISBN: (纸本)9781450327459

With the advances of sensory, satellite and mobile communication technologies in recent decades, locational data become widely available. A lot of work has been developed to find useful information from these data, and various approaches have been proposed. In this work, we aim to use one specific type of locational data network connection logs of mobile devices, which is widely available and easily accessible to telecom companies, to identify and extract active areas of users. This is a challenging topic due to the existence of inaccurate location and fluctuating log time intervals of this kind of data. In order to observe user behavior from this kind of data set, we propose a new algorithm, namely Behavior Observation Tool (BOT), which uses convex hull algorithm with sliding time windows to model the user's movement, and thus knowledge about the user's lifestyle and habits can extracted from the mobile device network logs.

关键词： Spatial-Temporal Data Mining Loctional Data convex hull algorithm Network Connection Logs Active Area

来源：评论

学校读者我要写书评

暂无评论

Foot shape classification methods based on image processing for shoe manufacturing 10

Foot shape classification methods based on image processing ...

引用

10th International Conference on Information and Communication Technology Convergence (ICTC) - ICT Convergence Leading the Autonomous Future

作者： Park, Yongbeom Lee, Junhee Park, Kwangroh Elect & Telecommun Res Inst Future & Basic Technol Res Div Daejeon South Korea

ISBN: (纸本)9781728108933

In this paper, we propose two approaches for classifications of foot shape using image processing technologies. The main concern of the proposed method is to classify the foot shapes based on the foot index and the toe length. To this end, the proposed method employs YCbCr color space, contour function, and convex hull algorithm to detect the contour and end points on the foot image and calculates the distance between end points on the contour. We analyze the results of foot classifications to investigate how well the proposed method classifies the foot image. Our numerical results show that the proposed method classifies the foot shape among slender, standard, and broader types by calculating the foot index of the image. In addition, the foot image is classified into Egyptian, Squared, and Greek types by calculating the length of a big toe and the second toe when the proposed method is used. This implies that the proposed method provides useful information for manufacturing shoes suitable for the foot shape of customers.

关键词： Foot shape image processing YCbCr contour convex hull algorithm classification foot end points foot index toe length OpenCV ratio of foot length and width

来源：评论

学校读者我要写书评

暂无评论

Real time Finger Tracking and Contour Detection for Gesture Recognition using OpenCV

Real time Finger Tracking and Contour Detection for Gesture ...

引用

International Conference on Industrial Instrumentation and Control

作者： Gurav, Ruchi Manish Kadbe, Premanand K. VPCOE Dept Elect & Telecommun Engn Baramati India

ISBN: (纸本)9781479971657

Gestures are important for communicating information among the human. Nowadays new technologies of Human Computer Interaction (HCI) are being developed to deliver user's command to the robots. Users can interact with machines through hand, head, facial expressions, voice and touch. The objective of this paper is to use one of the important modes of interaction i.e. hand gestures to control the robot or for offices and household applications. Hand gesture detection algorithms are based on various machine learning methods such as neural networks, support vector machine, and Adaptive Boosting (AdaBoost). Among these methods, AdaBoost based hand-pose detectors are trained with a reduced Haar-like feature set to make the detector robust. The corresponding context-free grammar based proposed method gives effective real time performance with great accuracy and robustness for more than four hand gestures. Rectangles are creating some problem due to that we have also implement the alternate representation method for same gestures i.e. fingertip detection using convex hull algorithm.

关键词： Hand Gesture Neural networks Support vector machine Adaptive Boosting (AdaBoost) Reduced Haar-like feature set Fingertip as contour detection convex hull algorithm Human Computer Interaction (HCI) HSV (Hue, Saturation & Intensity Value)

来源：评论

学校读者我要写书评

暂无评论

Quantitative techniques for analysis of large data sets in renewable distributed generation

Quantitative techniques for analysis of large data sets in r...

引用

IEEE PES Power Systems Conference and Exposition

作者： Pregelj, A Begovic, M Rohatgi, A Georgia Inst Technol Atlanta GA 30332 USA

ISBN: (纸本)078038718X

Summary form only given. Distributed generation (DG) reduces losses and eliminates some of the transmission and distribution costs. It may also reduce fossil fuel emissions, defer capital costs, and improve the distribution feeder voltage conditions. The calculation of the effects of small residential photovoltaic (PV) and wind DG systems on various feeder operating variables is complicated by both the probabilistic nature of their output and the variety of their possible spatial allocations. A method based on a combination of clustering techniques and a convex hull algorithm is proposed that may reduce the computational burden by an order of magnitude, while still allowing accurate estimation of DG-enhanced feeder operation.

关键词： distributed power generation power distribution economics power transmission economics wind power plants photovoltaic power systems fossil fuels convex programming statistical analysis air pollution control cost reduction renewable distributed generation DG loss reduction transmission cost elimination distribution cost elimination fossil fuel emission reduction capital cost distribution feeder voltage condition residential photovoltaic system wind DG system clustering technique convex hull algorithm feeder operation large data set quantitative technique

来源：评论

学校读者我要写书评

暂无评论

State Recognition of Circuit Breaker Based on Machine Vision 19

State Recognition of Circuit Breaker Based on Machine Vision

引用

2nd International Conference on Image and Graphics Processing (ICIGP) / 5th International Conference on Virtual Reality

作者： Jia, Qianghan Zhou, Zhifeng Zhao, Yong Shanghai Univ Engn Sci Sch Mech & Automot Engn Shanghai 201620 Peoples R China

ISBN: (纸本)9781450360920

In the automatic assembly line of the disconnector, the upper cover and the base of the circuit breaker housing are separated by a separation station. If the upper cover and the base are placed too far apart or placed in the opposite direction, the separation station cannot be separated normally, and it will affect the normal operation of subsequent processes. In this paper, a machine vision recognition and detection system for the circuit breaker shell is proposed. The image of the circuit breaker casing is captured by the CCD camera. The image processing technology is used to detect the edge of the original image of the circuit breaker shell and feature extraction. The algorithm of convex hull is used to calculate the rotation angle. Then the least square method is used to calculate the center position of the largest circle, and the upper cover and the base are identified according to the quadrant of the center of the circle.

关键词： feature extraction convex hull algorithm hough transform circuit breaker

来源：评论

学校读者我要写书评

暂无评论

Modeling biomass of white birch (Betula platyphylla) in the Lesser Khingan Range of China based on terrestrial 3D laser scanning system

引用

NATURAL RESOURCE MODELING 2020年第1期33卷 e12240-e12240页

作者： Meng, Yuan Dong, Xibin Liu, Weiguo Lin, Wenshu Northeast Forestry Univ Dept Forest Engn Coll Engn & Technol Harbin Heilongjiang Peoples R China Northwest A&F Univ Coll Forestry Dept Forestry Yangling Shanxi Peoples R China

The three-dimensional (3D) terrestrial laser scanning (TLS) system was used to obtain the point cloud data of Betula platyphylla sample trees and the diameter at breast height (DBH), tree height, and biomass were measured for these trees. A 3D point cloud model was constructed to obtain the parameters, such as trunk volume, crown volume, and crown surface area. Then, the TLS-based parameters were introduced into the traditional constant allometric ratio (CAR) biomass models. The fitting precision of the modified models was compared with the traditional CAR models. Results showed that (a) the total biomass model and the biomass allocation models by introducing trunk volume and crown volume were optimal in terms of coefficient of determination (R-2). The R-2 of the total, trunk, branch, and leaf biomass models were 0.990, 0.966, 0.960, and 0.936, respectively. (b) The errors for the modified biomass models with trunk volume and crown volume were the smallest. Recommendations for Resource Managers Forest biomass represents the primary productivity of forests, which plays an important role in the study of the relationship between forest ecosystems and climate. The traditional constant allometric ratio biomass models were modified by introducing some key parameters from three-dimensional point cloud data, such as trunk volume, crown volume, or crown surface area to improve the fitting precision. Betula platyphylla biomass can be well estimated by the modified biomass models, which can significantly increase the reliability of tracking the changes of carbon stocks of B. platyphylla natural secondary forest in the Lesser Khingan Range of China.

关键词： biomass model convex hull algorithm point cloud data terrestrial 3D laser scanning

来源：评论

学校读者我要写书评

暂无评论

A Python Application for Visualizing the 3D Stratigraphic Architecture of the Onshore Llobregat River Delta in NE Spain

引用

WATER 2022年第12期14卷 1882-1882页

作者： Bullejos, Manuel Cabezas, David Martin-Martin, Manuel Javier Alcala, Francisco Univ Granada Dept Algebra Granada 18010 Spain Univ Granada Dept Anal Matemat Granada 18010 Spain Univ Alicante Dept Ciencias Tierra & Medio Ambiente Alicante 03080 Spain Estn Expt Zonas Aridas EEZA CSIC Dept Desertificac & Geoecol Almeria 04120 Spain Univ Autonoma Chile Fac Ingn Inst Ciencias Quim Aplicadas Santiago 7500138 Chile

This paper introduces a Python application for visualizing the 3D stratigraphic architecture of porous sedimentary media. The application uses the parameter granulometry deduced from borehole lithological records to create interactive 3D HTML models of essential stratigraphic elements. On the basis of the high density of boreholes and the subsequent geological knowledge gained during the last six decades, the Quaternary onshore Llobregat River Delta (LRD) in northeastern Spain was selected to show the application. The public granulometry dataset produced by the Water Authority of Catalonia from 433 boreholes in this strategic coastal groundwater body was clustered into the clay-silt, coarse sand, and gravel classes. Three interactive 3D HTML models were created. The first shows the location of the boreholes granulometry. The second includes the main gravel and coarse sand sedimentary bodies (lithosomes) associated with the identified three stratigraphic intervals, called lower (>50 m b.s.l.) in the distal LRD sector, middle (20-50 m b.s.l.) in the central LRD, and upper (<20 m b.s.l.) spread over the entire LRD. The third deals with the basement (Pliocene and older rocks) top surface, which shows an overall steeped shape deepening toward the marine platform and local horsts, probably due to faulting. The modeled stratigraphic elements match well with the sedimentary structures reported in recent scientific publications. This proves the good performance of this incipient Python application for visualizing the 3D stratigraphic architecture, which is a crucial stage for groundwater management and governance.

关键词： Llobregat River Delta stratigraphic architecture granulometry 3D modeling application Python programming language convex hull algorithm IDW interpolation algorithm

来源：评论

学校读者我要写书评

暂无评论

Online prediction and control method for compensation regulation value in grinding processes

引用

ADVANCES IN MECHANICAL ENGINEERING 2019年第3期11卷

作者： Zheng, Peng Liu, Dong-liang Tian, Xue-hao Zhi, Zhan-xin Zhang, Lin-na Zhengzhou Univ Sch Mech Engn 100 Kexue Rd Zhengzhou 450001 Henan Peoples R China

In any grinding process, compensation regulation value is a crucial factor for maintaining precision during the batch processing of workpieces. Geometric characteristics, buffing allowance, temperature, wheel speed, and workpiece speed are the main factors that affect compensation regulation value in any grinding process. In this article, a novel prediction method for compensation regulation value is proposed based on incremental support vector machine and mixed kernel function. The support vectors for the prediction model are extracted using the convex hull vertex optimization algorithm, and the speed of the operation can be increased effectively. In addition, the parameters of the model are optimized using cross-validation optimization method to improve the accuracy of the prediction model. Then, the feedback control strategy of compensation regulation value for the grinding process is also proposed. Single-factor and multi-factor experiments are implemented respectively using the proposed method. The results verify the feasibility and effectiveness of the proposed method. It is also noted that the machining accuracy is improved significantly in comparison with the machining without prediction and compensation control. Moreover, by applying the prediction compensation control of compensation regulation value to the active measurement and control of the grinding process, a feedback system is formed, and then the intelligentization of the grinding system can be realized.

关键词： Grinding compensation regulation value error correction support vector machine convex hull algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：