Quantitative infrared detection methods for debonding in concrete-filled steel tubes during the hydration heat phase by Haonan Cai, Chongsheng Cheng, Hong Zhang, Jianting Zhou

“…This study proposes a Discreteness-Based Image Preprocessing (DBIP) method, combined with Otsu’s and K-means image segmentation methods, to explore its effectiveness in detecting debonding in CFST during the hydration heat phase. …”
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Quantitative image indices in ultrasonic diagnostics of inbomogeneous materials by Robert C. CHIVERS

“…The use of a commercial image analyser for dimensional analysis of discrete features of ultrasonic images has been described previously. …”
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Compressed sensing-based image reconstruction for discrete tomography with sparse view and limited angle geometries. by Haytham A Ali, Essam A Rashed, Hiroyuki Kudo

“…This paper addresses the image reconstruction problem in discrete tomography, particularly under challenging imaging conditions such as sparse-view and limited-angle geometries commonly encountered in computed tomography (CT). …”
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Quantitative imaging of RAD51 expression as a marker of platinum resistance in ovarian cancer by Michal M Hoppe, Patrick Jaynes, Joanna D Wardyn, Sai Srinivas Upadhyayula, Tuan Zea Tan, Stefanus Lie, Diana G Z Lim, Brendan N K Pang, Sherlly Lim, Joe P S Yeong, Anthony Karnezis, Derek S Chiu, Samuel Leung, David G Huntsman, Anna S Sedukhina, Ko Sato, Monique D Topp, Clare L Scott, Hyungwon Choi, Naina R Patel, Robert Brown, Stan B Kaye, Jason J Pitt, David S P Tan, Anand D Jeyasekharan

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Quantitative image analysis reveals distinct structural transitions during aging in Caenorhabditis elegans tissues. by Josiah Johnston, Wendy B Iser, David K Chow, Ilya G Goldberg, Catherine A Wolkow

“…Using pattern recognition to analyze aged-grouped pharynx images, we identified discrete step-wise transitions between distinct morphologies. …”
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Airborne Mapping of Atmospheric Ammonia in a Mixed Discrete and Diffuse Emission Environment by David M. Tratt, Clement S. Chang, Eric R. Keim, Kerry N. Buckland, Morad Alvarez, Olga Kalashnikova, Sina Hasheminassab, Michael J. Garay, Yaning Miao, William C. Porter, Francesca M. Hopkins, Payam Pakbin, Mohammad Sowlat

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Multi‐Step Assembly of an RNA‐Liposome Nanoparticle Formulation Revealed by Real‐Time, Single‐Particle Quantitative Imaging by Michael C. Chung, Hector R. Mendez‐Gomez, Dhruvkumar Soni, Reagan McGinley, Alen Zacharia, Jewel Ashbrook, Brian Stover, Adam J. Grippin, Elias J. Sayour, Juan Guan

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Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss by Michal Balcerak, Jonas Weidner, Petr Karnakov, Ivan Ezhov, Sergey Litvinov, Petros Koumoutsakos, Tamaz Amiranashvili, Ray Zirui Zhang, John S. Lowengrub, Igor Yakushev, Benedikt Wiestler, Bjoern Menze

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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…An extensive range of image fusion techniques is available, across from traditional approaches such as intensity-hue-saturation (IHS), principal component analysis (PCA), discrete cosine transform (DCT), and discrete wavelet transform (DWT) to more advanced methods such as deep learning (DL) and generative adversarial networks (GANs). …”
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Quantitative characterization of damage characteristics of coal using evaluation parameters considering the spatial structural characteristics of fractures by Jin Yan, Xiaoming Ni, Erlei Su, Ruize Niu

“…The results show that fractal dimension, spatial attitude factor, and discreteness can respectively characterize the complexity of fracture morphology, the impact of fracture spatial angles on compressive strength, and the spatial discreteness of fractures; coal damage factors are positively correlated with porosity and spatial attitude factors, and negatively correlated with fracture fractal dimension and fracture discreteness. …”
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A quantitative assessment of the behavior of metallic elements in urban soils exposed to industrial dusts near Dunkerque (northern France) by M. Casetta, S. Philippe, L. Courcot, D. Dumoulin, G. Billon, F. Baudin, F. Henry, M. Hermoso, J. Caillaud

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Hybrid Mamba for amphibious Limulidae low-light image enhancement by Lili Han, Xiuping Liu, Tao Xu, Yuangan Wang

“…This paper proposes a novel method for amphibious low-light image enhancement based on hybrid Mamba, which integrates wavelet transform, Discrete Cosine Transform (DCT), and Fast Fourier Transform (FFT) within the Mamba framework. …”
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Fractured Zone Detection Using Petrophysical Logs by Rescaled Windowed R/S Analyses and Discrete Fracture Network (DFN) of Yanchang Formation in Mahuangshan-Hongliugou Area, Ordos... by Jindong Gao, Lirong Li, Gaorun Gao, Shuwei Ma, Meng Li

“…Based on the parameters obtained from the core and image logs, the discrete fracture network model was established using H curves from more than 300 wells, and the structural fracture zone was analyzed. …”
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Image Scale-Space Filtering Using Directional Local Variance Controlled Anisotropic Diffusion by Yong Chen, Taoshun He

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An Analytical Approach for Fast Recovery of the LSI Properties in Magnetic Particle Imaging by Hamed Jabbari Asl, Jungwon Yoon

“…Linearity and shift invariance (LSI) characteristics of magnetic particle imaging (MPI) are important properties for quantitative medical diagnosis applications. …”
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Image Processing Application for Pluripotent Stem Cell Colony Migration Quantification by Timofey Chibyshev, Olga Krasnova, Alina Chabina, Vitaly V. Gursky, Irina Neganova, Konstantin Kozlov

“…The procedure consists of more than 40 elementary operations that include setting of several biologically relevant parameters, image segmentation and performing of quantitative measurements. …”
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Fluorescence lifetime readouts of Troponin-C-based calcium FRET sensors: a quantitative comparison of CFP and mTFP1 as donor fluorophores. by Romain Laine, Daniel W Stuckey, Hugh Manning, Sean C Warren, Gordon Kennedy, David Carling, Chris Dunsby, Alessandro Sardini, Paul M W French

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The Multiscale Pore Connectivity Network via Scaling Relationship Derived from a Sandstone Image by Teo Lay Lian

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Parametric Analytical Modulation Transfer Function Model in Turbid Atmosphere with Application to Image Restoration by Mengxing Guo, Pengfei Wu, Zizhao Fan, Hao Lu, Ruizhong Rao

“…A source database is established using a numerical radiative transfer method based on discrete ordinate. Through multivariate nonlinear fitting and linear interpolation, the quantitative relationships among critical spatial frequency, turbid atmospheric MTF, and key atmospheric optical parameters—such as optical thickness, single scattering albedo, and asymmetry factor—are examined. …”
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Fast COVID-19 Detection from Chest X-Ray Images Using DCT Compression by Fatma Taher, Reem T. Haweel, Usama M. H. Al Bastaki, Eman Abdelwahed, Tariq Rehman, Tarek I. Haweel

“…The CXR images are divided into sub-blocks for finding out the discrete cosine transform (DCT) for every sub-block in this proposed method. …”
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