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13th International Conference on Swarm Intelligence (ICSI)

作者： Shi, Xianghang Liu, Jing Xu, Jingzhou Lu, Mingli Yancheng Inst Technol Sch Mech Engn Yancheng Peoples R China Soochow Univ Affiliated Infect Dis Hosp Peoples Hosp Suzhou 5 Suzhou Jiangsu Peoples R China Xian Jiaotong Liverpool Univ Informat & Comp Sci Sch Adv Technol Suzhou Peoples R China Changshu Inst Technol Sch Elect & Automat Engn Changshu Jiangsu Peoples R China

ISBN: (纸本)9783031097263;9783031097263

Currently, tuberculosis (TB) remains one of the major threats to people's health. Specifically, the problem of under-segmentation due to adhesion of pulmonary tuberculosis lesions to the pleura is a thorny problem in image segmentation. In this paper, An effective lung parenchyma patching method is proposed, which is composed of an improved convex hull algorithm with non-uniform rational B-splines. Our method is mainly divided into three parts. First, the temporal image processing method is used to preliminarily segment the lung parenchyma. Then, the lesion area was discriminated based on the convex hull algorithm and discrete point derivative frequency. Finally, the NURBS fitting method is introduced to complete the fitting of the defect contour. According to our experimental results, the completed lesion contour blends naturally with the original lung contour. Compared with some existing algorithms, our method performs better.

关键词： Lung segmentation convex hull algorithm Non-uniform ratioinal B-splines

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Method for Vortex Shape Retrieval and Area Calculation Based on convex hull algorithm

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IEEE ACCESS 2021年 9卷 2706-2714页

作者： Wei, Xu Li, Jiyu Long, Bo Hu, Xiaodan Wu, Han Li, Huifen South China Agr Univ Coll Engn Guangzhou 510642 Peoples R China Natl Ctr Int Collaborat Res Precis Agr Aviat Pest Guangzhou 510642 Peoples R China Guangdong Acad Agr Sci Rice Res Inst Guangzhou 510640 Peoples R China

The shape and area of the vortex are important indicators to judge the effect of chemical liquid spraying and crop pollination by agricultural plant protection UAV. However, the traditional way of extracting the vortex related data through manual methods without an adaptive mechanism is complicated and inefficient. In order to solve this problem, the vortex image is preprocessed by adaptive iterative binarization and mean filtering. Then, the convex hull algorithm combined with Edge function is applied to the pre-processed image to extract the specific shape of vortex image and further calculate its area. Experimental results show that this method can be used to extract the vortex shapes and calculate the vortex area under different experimental conditions without manual intervention. Compared with the results of vortex area obtained via the manual extraction method, this method reported the average absolute error rate of 2.84%, the RMSE of 0.2903, and the correlation coefficient of 0.9965, indicating that the proposed method is more applicable to reveal the actual state of the vortex. A standardized extraction method was established to provide a standard for future vortex image research. The method in this paper lays a scientific foundation for the real-time tracking research of agricultural plant protection UAV and vortex.

关键词： Agricultural plant protection UAV convex hull algorithm edge retrieval shape and area vortex

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Calculation of Operational Domain of Virtual Maintenance based on convex hull algorithm 2

Calculation of Operational Domain of Virtual Maintenance bas...

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2nd International Conference on Reliability Systems Engineering (ICRSE)

作者： Xu, Yujie Hou, Wenkui Beihang Univ Sch Reliabil & Syst Engn Beijing Peoples R China

ISBN: (纸本)9781538609187

Virtual maintenance based on virtual reality has been developed recent years, yet the relation between qualitative analysis and quantitative analysis has not been built. In this paper, a calculation method of operational domain of virtual maintenance based on convex hull algorithm is proposed. First, a hierarchical skeleton mathematical model based on the physiological characteristics of human skeletal structure is given to digitalize the virtual human body. Second, the motion equation of human posture is built based on the model of skeleton joint chain and the offset matrix of default skeleton posture. Finally, convex hull algorithm is used to calculate the operational domain of virtual maintenance. The proposed method is validated using realtime data collected by the Noitom's motion-capturing device. The experiment result has testified the method can provide an effectively quantitative analysis for operational domain of virtual maintenance.

关键词： component virtual maintenance convex hull algorithm hierarchical skeleton model operational domain

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Multi-stage guided wave technique for estimating the shape and size of multiple damages in honeycomb sandwich structures

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MEASUREMENT 2025年 247卷

作者： Buddala, Ramana Raja Soman, Rohan Tallur, Siddharth Banerjee, Sauvik Indian Inst Technol Dept Civil Engn Mumbai 400076 MH India Polish Acad Sci Inst Fluid Flow Machinery PL-80231 Gdansk Poland Indian Inst Technol Dept Elect Engn Mumbai 400076 MH India

To ensure the safety of honeycomb sandwich structures (HSS), ongoing research focuses on developing guided wave (GW)-based monitoring techniques for detecting, localizing, and quantifying damage(s). While substantial progress has been made in damage detection and localization, further work is needed to improve localization of multiple damages and assess their extent. This study introduces a multi-stage GW-based technique to identify the shape and size of multiple damages in HSS through both experimental and numerical investigations. Initially, damage quadrants are identified using a probability-based signal difference coefficient algorithm. Next, a convex hull algorithm determines the boundary of each damage. The technique is demonstrated on six cases with multiple different damages of varying sizes, shapes, and orientations. Finally, the distinctiveness of this technique lies in its ability to quantify multiple damages through both geometric area measurement and using the Intersection over Union (IoU) metric.

关键词： Honeycomb sandwich structure Multi damage detection convex hull algorithm Damage quantification Guided waves Non-destructive testing

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Arc Grounding Fault Identification Using Integrated Characteristics in the Power Grid

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Energy Engineering 2024年第7期121卷 1883-1901页

作者： Penghui Liu Yaning Zhang Yuxing Dai Yanzhou Sun School of Electrical Engineering and Automation Henan Polytechnic UniversityJiaozuo454003China Research and Development Center Guangdong Zhicheng Champion Group Co.Ltd.Dongguan523000China Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Henan Polytechnic UniversityJiaozuo454003China

Arc grounding faults occur frequently in the power grid with small resistance grounding neutral *** existing arc fault identification technology only uses the fault line signal characteristics to set the identification index,which leads to detection failure when the arc zero-off characteristic is *** solve this problem,this paper presents an arc fault identification method by utilizing integrated signal characteristics of both the fault line and sound ***,the waveform characteristics of the fault line and sound lines under an arc grounding fault are *** that,the convex hull,gradient product,and correlation coefficient index are used as the basic characteristic parameters to establish fault identification ***,the logistic regression algorithm is employed to deal with the reference samples,establish the machine discrimination model,and realize the discrimination of fault ***,simulation test results and experimental results verify the accuracy of the proposed *** comparison analysis shows that the proposed method has higher recognition accuracy,especially when the arc dissipation power is smaller than 2×10^(3) W,the zero-off period is not *** conclusion,the proposed method expands the arc fault identification theory.

关键词： Arc fault convex hull algorithm correlation coefficient fault identification gradient logistic regression

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Underwater swimming fish mass estimation based on binocular vision

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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

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

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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

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Hand pose estimation based on fish skeleton CNN: application in gesture recognition

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2023年第5期44卷 8029-8042页

作者： Zhang, Mingyue Zhou, Zhiheng Tao, Xiyuan Zhang, Na Deng, Ming South China Univ Technol Sch Elect & Informat Engn Guangzhou 510640 Peoples R China South China Univ Technol Key Lab Big Data & Intelligent Robot Guangzhou Peoples R China Guangdong Sci Ctr Guangzhou Peoples R China

The modern world contains a significant number of applications based on computer vision, in which human-computer interaction plays a crucial role, pose estimation of the hand is a crucial approach in the field of human-computer interaction. However, previous approaches suffer from the inability to accurately measure position in real-world scenes, difficulty in obtaining targets of different sizes, the structure of complex network, and the lack of applications. In recent years, deep learning techniques have produced state-of-the-art outcomes but there are still challenges that need to be overcome to fully exploit this technology. In this research, a fish skeleton CNN (FS-HandNet) is proposed for hand posture estimation from a monocular RGB image. To obtain hand pose information, a fish skeleton network structure is used for the first time. Particularly, bidirectional pyramid structures (BiPS) can effectively reduce the loss of feature information during downsampling and can be used to extract features from targets of different sizes. It is more effective at solving problems of different sizes. Then a distribution-aware coordinate representation is employed to adjust the position information of the hand, and finally, a convex hull algorithm and hand pose information are applied to recognize multiple gestures. Extensive studies on three publicly available hand position benchmarks demonstrate that our method performs nearly as well as the state-of-the-art in hand pose estimation. Additionally, we have implemented hand pose estimation for the application of gesture recognition.

关键词： Hand pose estimation FS-HandNet distribution-aware coordinate representation convex hull algorithm the application of gesture recognition

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Boundary query solution using convex hull algorithm

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JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE 2013年第1期25卷 139-146页

作者： Shirgahi, Hossein Mohsenzadeh, Mehran Javadi, S. Hamid H. S. Islamic Azad Univ Jouybar Branch Dept Comp Engn Jouybar Iran Islamic Azad Univ Sci & Res Branch Dept Comp Engn Jouybar Iran

An important issue in database (DB) systems is responding to different users' queries in an acceptable time. To do this, we should define different queries based on users' real needs and we should consider suitable solutions. In this article, we express a new query called 'boundary query' which is used for achieving an overall view of a subject in the DB. This query does not return all query answers but it returns boundary values that cover all answers for the related query. In this article, we map a DB environment to a vector space based on necessary attributes. Then we implement the proposed method, and based on the results, we observe that the proposed method's run time is acceptable for huge DBs.

关键词： relational database convex hull algorithm boundary query

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Application of convex hull algorithm for defect detection in selected biological materials

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9th International Conference on Stereology and Image Analysis in Materials

作者： Petryniak, Rafal Cracow Univ Technol Inst Appl Informat PL-31864 Krakow Poland

ISBN: (纸本)9783037856116

Conventional convex hull algorithm determines the smallest convex polygon that contains the analyzed shape. The article presents a modification of this algorithm, which allows us to select the concavity to detect. In contrast to the typical convex hull algorithm, the data are analyzed in portions. This paper proposes the use of this modified algorithm for the defects detection on medical images. Two types of images were used: micro-computer tomography images of dental root canals filled with sealer and magnetic resonance images of a patient hand with rheumatoid arthritis. Those images contained some defects that needed to be measured. Prepared algorithm greatly facilitated this process by supporting the user in the segmentation process. The achieved results were positively evaluated by experts - doctors: rheumatologists and endodontists.

关键词： image processing convex hull algorithm biological materials computer aided diagnosis defect detection

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