Manifold mesh reconstruction from dense matching points of oblique images by Weichen Sun, Chenxi Duan, Yunhua Zhao, Lei Han

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SegRep: Mask-Supervised Learning for Segment Representation in Pathology Images by Chichun Yang, Daisuke Komura, Mieko Ochi, Miwako Kakiuchi, Hiroto Katoh, Tetsuo Ushiku, Shumpei Ishikawa

“…To address this limitation, we introduce a novel concept in pathology image analysis, namely segment representation learning, and present an algorithm, SegRep, for this purpose. …”
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Detection of low-altitude infrared small targets for UAVs using a density-based artificial bee colony algorithm by Haixia Wang, Hailong Wang, Fen Han

“…Then, the DBABC algorithm is utilized to achieve efficient clustering and accurate identification of high-density areas. …”
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DeepLabV3+-Based Semantic Annotation Refinement for SLAM in Indoor Environments by Shuangfeng Wei, Hongrui Tang, Changchang Liu, Tong Yang, Xiaohang Zhou, Sisi Zlatanova, Junlin Fan, Liping Tu, Yaqin Mao

“…In this paper, we introduce a parameter-adaptive Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm incorporating K-nearest neighbors and accelerated by KD-tree structures, effectively addressing the limitations of manual parameter tuning and erroneous annotations in conventional methods. …”
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Segmentation of Striatal Brain Structures from High Resolution PET Images by Ricardo J. P. C. Farinha, Ulla Ruotsalainen, Jussi Hirvonen, Lauri Tuominen, Jarmo Hietala, José M. Fonseca, Jussi Tohka

“…The segmentation method first extracts the striatum using a deformable surface model and then divides the striatum into its substructures based on a graph partitioning algorithm. The weighted kernel k-means algorithm is used to partition the graph describing the voxel affinities within the striatum into the desired number of clusters. …”
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Planococcus citri in coffee trees by supervised classification using multispectral images by Kamila Fernanda Rossati, Vanessa Andaló, George Deroco Martins, Gleice Aparecida de Assis, Vinícius Silva Werneck Orlando, Letícia Pasqualin Messias Arriero, Lucas Silva de Faria, Renan Zampiroli

“…This study determined the use of low-cost multispectral images to identify coffee plants infested with P. citri. …”
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Non-destructive detection of internal quality of apple based on CT image by HUANG Taotao, SUN Teng, ZHANG Jingping

“…In comparison, we can get the clearest image at 430/—210. Then a regression model was set up between the CT numbers and the gray level values, which showed a good linear relationship with the R² reaching 0.970 8.In consideration of the results obtained by some image segmentation algorithms, Otsu (maximum between clusters variance method) was put into use. …”
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Three-Dimensional Reconstruction of Road Structural Defects Using GPR Investigation and Back-Projection Algorithm by Lutai Wang, Zhen Liu, Xingyu Gu, Danyu Wang

“…This paper proposes a three-dimensional (3D) reconstruction method for GPR images, integrating the back-projection (BP) imaging algorithm to accurately determine the size, location, and other parameters of road structural defects. …”
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AdaLine: Adaptive Counting Line Optimization by Perspective-Aware Trajectory Modeling in Object-Detection-Tracking Systems by Wenhao Huang, Yin Chen, Jin Nakazawa, Tadashi Okoshi

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Unsupervised person re‐identification based on adaptive information supplementation and foreground enhancement by Qiang Wang, Zhihong Huang, Huijie Fan, Shengpeng Fu, Yandong Tang

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Research on Image Feature Extraction and Environment Inference Based on Invariant Learning by Yujian Ding, Xiaoxu Ma, Bingxue Yang

“…On the basis of this model, GRAD-CAM algorithm is used to extract environmental features of images. …”
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Adaptive Coati Optimization Enabled Deep CNN-based Image Captioning by Balasubramaniam S, Seifedine Kadry, Rajesh Kumar Dhanaraj, Satheesh Kumar K

“…The task of providing a natural language description of graphical information of the image is known as image captioning. As a result, it needs an algorithm to create a series of output words and understand the relations between textual and visual elements. …”
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An integrated calcium imaging processing toolbox for the analysis of neuronal population dynamics. by Sebastián A Romano, Verónica Pérez-Schuster, Adrien Jouary, Jonathan Boulanger-Weill, Alessia Candeo, Thomas Pietri, Germán Sumbre

“…The toolbox includes newly developed algorithms and interactive tools for image pre-processing and segmentation, estimation of significant single-neuron single-trial signals, mapping event-related neuronal responses, detection of activity-correlated neuronal clusters, exploration of population dynamics, and analysis of clusters' features against surrogate control datasets. …”
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Learning Curvelet-based Directional Dictionaries for Single Image Super Resolution by Elhameh Mikaeli, Ali Aghagolzadeh, Mehdi Nooshyar

“…Learning and reconstruction-based methods are the two main approaches to the solve single image super resolution (SISR) problem. In this paper, to exploit the advantages of both learning based and reconstruction based approaches, we propose a new SISR framework by combining them, which can effectively utilize their benefits. …”
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Ship Contour Extraction from Polarimetric SAR Images Based on Polarization Modulation by Guoqing Wu, Shengbin Luo Wang, Yibin Liu, Ping Wang, Yongzhen Li

“…Finally, the ship’s contour is extracted from the optimized image using an edge-detection operator and an adaptive edge extraction algorithm. …”
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Feature extraction method based on point pair hierarchical clustering by Jiang Qian, Ruixin Zhao, Jingkang Wei, Xiaohui Luo, Yilan Xue

“…Conventional feature detection algorithms are largely based on clustered two-dimensional (2D) blocks of information. …”
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Railway Foreign Object Intrusion Detection Using UAV Images and YOLO-UAT by Yang Yang, Zhanhao Liu, Junming Chen, Haiming Gao, Tao Wang

“…Concurrently, the K-means++ algorithm is introduced to cluster the a priori frames, which improves the accuracy and convergence speed of the a priori frame clustering. …”
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Can Fire Season Type Serve as a Critical Factor in Fire Regime Classification System in China? by Huijuan Li, Sumei Zhang, Xugang Lian, Yuan Zhang, Fengfeng Zhao

“…By using data normalization and the k-means clustering algorithm, the study area was divided into five types of FR zones (FR 1–5) with significant differences. …”
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Capturing Preferences of New Users in Generative Tasks with Minimal Interactions Collaborative Filtering Using Siamese Networks and Soft Clustering by Subharag Sarkar, Manfred Huber

“…The approach is applied in the context of an image generation task where the goal is to learn to generate images that match the preferences of the user using only a minimal number of direct user interactions. …”
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K-Means Clustering Algorithm Measuring the Satisfaction Level of MNC TV Muslim I'murojaah Program Viewers by Herayati Herayati, Andronias Siregar, Hariyanto Hariyanto

“…The smallest Davies Bouldin Index value was for clustering class 2. Recommendations for program improvement include enhancing image and sound quality, ensuring that the equipment and technology used can produce optimal quality. …”
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