Automatic epicardial fat segmentation and volume quantification on non-contrast cardiac Computed Tomography by Ana Filipa Rebelo, António M. Ferreira, José M. Fonseca

“…Then, to refine the pericardium delineation, convex hull is applied. Lastly, epicardial fat is segmented by thresholding. …”
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Damage Recognition of Road Auxiliary Facilities Based on Deep Convolution Network for Segmentation and Image Region Correction by Yuanshuai Dong, Yanhong Zhang, Yun Hou, Xinlong Tong, Qingquan Wu, Zuofeng Zhou, Yuxuan Cao

“…In anti-glare panel area, on the largest outer polygon estimated by the convex hull algorithm, the optimal outer quadrilateral is determined according to the distance between the vertices, and then, the anti-glare panel area correction is completed by affine transformation and finally through the image one-dimensional projection mapping and adjacent shading. …”
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Esophagus Segmentation in Computed Tomography Images Using a U-Net Neural Network With a Semiautomatic Labeling Method by Xiao Lou, Youzhe Zhu, Kumaradevan Punithakumar, Lawrence H. Le, Baosheng Li

“…In the execution component, the assumed esophageal contours are predicted by the clustered model. A convex hull approach and level set algorithm yield the final esophageal contours, which are employed to train the neural network. …”
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Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering by Bo Xu, Chunjiang Zhao, Guijun Yang, Yuan Zhang, Changbin Liu, Haikuan Feng, Xiaodong Yang, Hao Yang

“…These encompassed main spike diameter, crown height, main spike length, stem length, stem diameter, the number of branches, total branch length, average crown diameter, maximum crown diameter, convex hull volume, and crown area. Finally, we compared the GFC (Gaussian Fuzzy Clustering algorithm) used in this study with commonly used algorithms, such as RF (Random Forest), SVM (Support Vector Machine), and BPNN (BP Neural Network), as well as k-Means, HCM (Hierarchical), and FCM (Fuzzy C-Means). …”
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A novel lip geometry approach for audio-visual speech recognition by Mohd Zamri, Ibrahim

“…First, this work presents a new method to extract lip geometry features using the combination ofa skin colour filter, a border following algorithm and a convex hull approach. The proposed method was found to improve lip shape extraction performance compared to existing approaches. …”
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Measuring exploration: evaluation of modelling to generate alternatives methods in capacity expansion models by Michael Lau, Neha Patankar, Jesse D Jenkins

“…We examine each existing method’s runtime, parallelizability, new solution discovery efficiency, and spatial exploration in lower dimensional ( N ⩽ 100) spaces, as well as spatial exploration for all methods in a three-zone, 8760 h capacity expansion model case. To measure convex hull volume expansion, this paper formalizes a computationally tractable high-dimensional volume estimation algorithm. …”
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Principal Component Neural Networks for Modeling, Prediction, and Optimization of Hot Mix Asphalt Dynamics Modulus by Parnian Ghasemi, Mohamad Aslani, Derrick K. Rollins, R. Christopher Williams

“…Empirically-based predictive models can behave differently outside of the convex hull of their input variables space, and it is very risky to use them outside of their input space, so this is not common practice of design engineers. …”
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MILP Modeling for (Large) S-boxes to Optimize Probability of Differential Characteristics by Ahmed Abdelkhalek, Yu Sasaki, Yosuke Todo, Mohamed Tolba, Amr M. Youssef

“…To take these properties into account, a bit-wise model is necessary, which can be generated by the H-representation of the convex hull or the logical condition modeling. However, the complexity of both approaches becomes impractical when the size of the S-box exceeds 5 bits. …”
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Individual Tree Crown Segmentation of a Larch Plantation Using Airborne Laser Scanning Data Based on Region Growing and Canopy Morphology Features by Zhenyu Ma, Yong Pang, Di Wang, Xiaojun Liang, Bowei Chen, Hao Lu, Holger Weinacker, Barbara Koch

“…The framework comprises five steps: (1) determination of the initial dominant segments using a region growing algorithm, (2) identification of segments to be redefined based on the 2D hull convex area of each segment, (3) establishment and selection of profiles based on the tree structures, (4) determination of the number of trees using the correlation coefficient of residuals between Gaussian fitting and the tree canopy shape described in each profile, and (5) k-means segmentation to obtain the point cloud of a single tree. …”
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A Software Suite for Limb Volume Analysis Applicable in Clinical Settings: Upper Limb Quantification by Mauro Nascimben, Mauro Nascimben, Lorenzo Lippi, Nicola Fusco, Nicola Fusco, Marco Invernizzi, Marco Invernizzi, Lia Rimondini

“…This initial experiment aimed to also verify the performance of digital volumes derived from the convex-hull gift-wrapping algorithm and the alternative analysis methods enclosed in the software. …”
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The effect of oil palm‐dominated landscapes on the home range and distribution of a generalist species, the Asian water monitor by Sergio Guerrero‐Sanchez, Katherine Majewski, Pablo Orozco‐terWengel, Silvester Saimin, Benoit Goossens

“…Abstract The Asian water monitor lizard, Varanus salvator, is one of the largest predators in Southeast Asia which persists in human‐dominated landscapes and, as such, is a suitable model to understand the behavioral plasticity of generalists in anthropogenic landscapes. We used Local Convex Hull with adaptive algorithm to estimate the home range size of 14 GPS‐tagged individuals, followed by a MAXENT approach and community prey composition to understand the habitat preferences within the landscape. …”
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Ab Initio Calculation of Li-Sn System: Unraveling New Phases of Superconducting Materials with Increasing Compression by Thong, Leng Lim, Tiem, Leong Yoon, Yee, Hui Robin Chang, San, Kiong Lai

“…Our simulations at moderate pressure (5-20 GPa) predict a complex convex hull diagram, with the following stable Li-rich phases: I4/mmm-Li6Sn2, P3m1-Li7Sn2, R3m-Li5Sn2, Ama2-Li4Sn2, R3m-Li5Sn2, P1-Li6Sn2, C2/m-Li4Sn1, P21/m-Li6Sn2, P3m1-Li7Sn2 and Cmcm-Li4Sn2. …”
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OpenJUMP HoRAE—A free GIS and toolbox for home‐range analysis by Stefan Steiniger, Andrew J. S. Hunter

“…Whereas comparisons among the estimation methods and different estimation software are available, only the adehabitat analysis toolbox for R is under a free and open‐source software license and includes established and new home‐range estimation approaches, such as Kernel Density Estimation, Brownian Bridges, and Local Convex Hulls. However, R and adehabitat are command line based, which some may perceive as not very user‐friendly, and provide only a limited set of functions for the analysis of home ranges with environmental geospatial data (e.g., land cover and elevation data). …”
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Ordering-flexible multi-robot coordination for moving target convoying using long-term task execution by Hu, Bin-Bin, Zhou, Yanxin, Wei, Henglai, Wang, Yan, Lv, Chen

“…In this paper, we propose a cooperative long-term task execution (LTTE) algorithm for protecting a moving target into the interior of an ordering-flexible convex hull by a team of robots resiliently in the changing environments. …”
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The Feasibility of Modelling the Crown Profile of <i>Larix olgensis</i> Using Unmanned Aerial Vehicle Laser Scanning Data by Ying Quan, Mingze Li, Zhen Zhen, Yuanshuo Hao, Bin Wang

“…Compared with the cone and 3D convex hull volumes, the crown volumes predicted by our profile models had significantly smaller errors. …”
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Cotton Phenotypic Trait Extraction Using Multi-Temporal Laser Point Clouds by YANG Xu, HU Songtao, WANG Yinghua, YANG Wanneng, ZHAI Ruifang

“…In addition, the volume was also estimated through the convex hull of the original point cloud of plant cotton. …”
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Novel Digital Features Discriminate Between Drought Resistant and Drought Sensitive Rice Under Controlled and Field Conditions by Lingfeng Duan, Jiwan Han, Zilong Guo, Haifu Tu, Peng Yang, Dong Zhang, Yuan Fan, Guoxing Chen, Lizhong Xiong, Mingqiu Dai, Kevin Williams, Fiona Corke, John H. Doonan, Wanneng Yang

“…These include a feature related to the ability to stay green, which we termed greenness plant area ratio (GPAR) and 3 shape descriptors [total plant area/bounding rectangle area ratio (TBR), perimeter area ratio (PAR) and total plant area/convex hull area ratio (TCR)]. Experiments showed that these 4 features were capable of discriminating reliably between drought resistant and drought sensitive accessions, and dynamically quantifying the drought response under controlled conditions across time (at either daily or half hourly time intervals). …”
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Range maps and waterbody occupancy data for 1158 freshwater macroinvertebrate genera in the contiguous USA by Ethan A. Brown, Ronald A. Hellenthal, Michael B. Mahon, Samantha L. Rumschlag, Jason R. Rohr

“…Maps were created by applying unweighted and weighted pair group method with arithmetic mean clustering and single-linkage clustering algorithms to the occurrence data and creating three layers of polygons from the minimum convex hulls of clusters. …”
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Subject-specific body segment parameter estimation using 3D photogrammetry with multiple cameras by Kathrin E. Peyer, Mark Morris, William I. Sellers

“…A low-cost body scanner was built using multiple cameras and 3D point cloud data generated using structure from motion photogrammetric reconstruction algorithms. The point cloud was manually separated into body segments, and convex hulling applied to each segment to produce the required geometric outlines. …”
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Prediction of crystal structures and motifs in the Fe–Mg–O system at Earth’s core pressures by Renhai Wang, Yang Sun, Renata M Wentzcovitch, Feng Zheng, Yimei Fang, Shunqing Wu, Zijing Lin, Cai-Zhuang Wang, Kai-Ming Ho

“…With the discovery of these phases, we construct the Fe–Mg–O ternary convex hull. We further clarify the composition- and pressure-dependence of structural motifs with the analysis of the AGA-found stable and metastable structures. …”
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