Search Results - image processing methods

Advances in ocular aging: combining deep learning, imaging, and liquid biopsy biomarkers by Dengren Zhang, Dengren Zhang, Naiyang Li, Naiyang Li, Fan Li, Fan Li, Fan Li

“…Non-invasive and minimally invasive methods, including biomarkers detected through ocular imaging or liquid biopsies from the aqueous humour or vitreous body, provide a promising avenue for assessing ocular ageing. …”
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Development of Ai-Based Crop Quality Grading Systems using Image Recognition by Dusi Prerna, Sharma Pooja

“…Crops' quality assessment in the current agricultural environment is still a labour intensive process relying much on human judgment. Often traditional crop grading methods are inconsistent of errors and tend to be inefficient and suboptimal grading results which cause costs. …”
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Differentiated impacts of image samples on creative performance in cultural tourism product design by Lun Wei, Hui Wu, Mingzhu Yu, Xuan Qin, Wenpei Zhang

“…This study investigates the impact of different types of image samples on enhancing the creative performance in cultural tourism product design, and and clarifies the practical role of image samples in design inspiration.MethodsA total of 66 design students were recruited and randomly assigned to three groups of 22 each. …”
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Stable in vitro fluorescence for enhanced live imaging of infection models for Batrachochytrium dendrobatidis. by Rebecca J Webb, Andrea L Vu, Lee F Skerratt, Lee Berger, Francisco De Jesús Andino, Jacques Robert

“…In addition to enabling enhanced live imaging, these methods will facilitate future genetic modification and characterisation of specific genes and their effect on Bd virulence.…”
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IW Extraction From SAR Images Based on Generative Networks With Small Datasets by B. Saheya, Xia Ren, Maoguo Gong, Xiaofeng Li

“…Second, to address the elongated features of IW crests, this study proposes a novel downsampling method that preserves the crest features during the downsampling process. …”
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Speckle Noise Removal in OCT Images via Wavelet Transform and DnCNN by Fangfang Li, Qizhou Wu, Bei Jia, Zhicheng Yang

“…The quality of OCT images is a crucial factor influencing diagnostic effectiveness, highlighting the importance of OCT image denoising. (2) Methods: The OCT image undergoes a Discrete Wavelet Transform (DWT) to decompose it into multiple scales, isolating high-frequency wavelet coefficients that encapsulate fine texture details. …”
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Cimiciato defect detection in hazelnuts: CNN models applied on X-ray images by Andrea Vitale, Matteo Giaccone, Antonio Gaetano Napolitano, Flavia de Benedetta, Laura Gargiulo, Giacomo Mele

“…Insect damages affect hazelnut quality, requiring post-harvest selection based on industrial quality standards which often exceed official regulations. Currently used methods for identifying insect damages (cimiciato) often rely on visual inspection, external imaging or require destructive testing.This study compared twelve different pretrained Convolutional Neural Network (CNN) architectures applied on hazelnut kernels X-ray radiographs for the automated detection of cimiciato defects.Through an extensive training and validation process, followed by testing on a separate dataset, InceptionV3 architecture showed the best overall balance across all performance metrics, including accuracy, sensitivity, and precision, while Xception demonstrated superior specificity and the lowest false positive rate. …”
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PET imaging of tissue reactions in the implanted cochlea: results of a pilot study by Philipp Deutsch, Philipp Deutsch, Jens P. Bankstahl, Martin Mamach, Michael Willmann, Frank M. Bengel, Thomas Lenarz, Thomas Lenarz, Thomas Lenarz, Georg Berding, Georg Berding, Verena Scheper, Verena Scheper, Verena Scheper, Jana Schwieger, Jana Schwieger

“…The present study investigates molecular processes in a guinea pig model of cochlear implant (CI) using positron emission tomography/computed tomography (PET/CT) and correlates the imaging findings with histological analyses.MethodsAnimals were examined with PET in the 3 weeks and 9–12 months post-implantation using the inflammation marker [18F]FDG and, at the later time points, [68Ga]FAPI-46 as a marker for fibrosis. …”
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Analysis for Improvement of Doppler Tomography Imaging of Objects Scattering Continuous Ultrasonic Waves by Tomasz ŚWIETLIK, Krzysztof J. OPIELINSKI

“…Finally, the impact of several key parameters on imaging quality is examined. As a result, the conclusions of the research allow to improve the image reconstruction process using the DT method.…”
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Single-Pixel Imaging Reconstruction Network with Hybrid Attention and Enhanced U-Net by Bingrui Xiao, Huibin Wang, Yang Bu

“…This paper proposes an image reconstruction method for single-pixel imaging (SPI) based on deep learning. …”
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Frequency domain manipulation of multiple copy-move forgery in digital image forensics. by Tanzeela Qazi, Mohsin Shah, Mushtaq Ali, Faqir Gul, Muneer Ahmad, Ajmal Khan

“…The inverse DWT (IDWT) reconstructs the processed image planes after modification which simulates the multiple copy move forgery. …”
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Training marine species object detectors with synthetic images and unsupervised domain adaptation by Heather Doig, Oscar Pizarro, Stefan Williams

“…Neural network object detectors can reduce the effort involved in this process by locating and classifying species of interest in the images. …”
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Single-Photon Reflectivity and Depth Imaging by Continuous Measurement of Arrival Time of Photons by Qiurong Yan, Dan Li, Yifan Wang, Yibing Yang, Linao Tang, Yuhao Wang

“…We demonstrate a reflectivity and depth imaging Lidar system based on a novel photon arrival time measurement method. …”
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Under-scanning non-line-of-sight imaging based on convolution approximation and optimization by Jinye Miao, Yingjie Shi, Lingfeng Liu, Yi Wei, Fuyao Cai, Lianfa Bai, Enlai Guo, Jing Han

“…In this paper, the under-scanning NLOS imaging model is simplified into a convolution approximation model, and a computationally efficient deconvolution optimization-based NLOS imaging (DO-NLOS) method is proposed to provide noise-robust reconstructions from under-scanning measurements. …”
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The City Image and the Local Public Administration: a Working Tool in Urban Planning by Marius Cristian NEACȘU

“…The conceptual scheme of this studyis based on three elements: theory (what doesthe city image represent?), method (how could wemap at a micro-scale level?)…”
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Neural network as a mirror of social attitudes: analysis of distortions in generative images by A. G. Tertyshnikova, U. O. Pavlova, M. D. Starovoytova

“…The source of shifts in data towards stereotypical images is contained in the data on which AI is trained, as well as in the code of the program itself, that is in the attitudes and worldview of developers, which in one way or another influence the process of program development. …”
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Light Encryption Scheme Using Light-Emitting Diode and Camera Image Sensor by Yang Liu, Kevin Liang, Hung-Yu Chen, Liang-Yu Wei, Chin-Wei Hsu, Chi-Wai Chow, Chien-Hung Yeh

“…The optimum number of intervals (segmentations) and the process time of the Otsu method are also studied.…”
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Exploiting Optical Chaos for Color Image Encryption and Secure Resource Sharing in Cloud by Lili Li, Yiyuan Xie, Yuzhu Liu, Bocheng Liu, Yichen Ye, Tingting Song, Yushu Zhang, Yong Liu

“…Meanwhile, we discuss security performance of color image encryption/decryption and key space transmission process, and analyze secure resource sharing of color image in cloud.…”
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THE DIFFERENCE OF HISTOPATHOLOGICAL IMAGE OF THE WISTAR RAT’S KIDNEY ADMINISTERED WITH GRADUAL DOSAGE OF PYRETHROID by Diaz Almayang, Saebani Saebani, Tuntas Dhanardhono, Endang Ambarwati, Ika Pawitra Miranti

“…This study aims to determine the difference in the histopathological image of the Wistar rat’s kidney. Method: The experimental research of the post-test only control group design involved 24 male Wistar rats divided into 4 groups randomly, the control (not given cypermethrin), treatments of 125 mg/kgBW, 250 mg/kgBW, and 500 mg/kgBW. …”
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Retinal fundus imaging-based diabetic retinopathy classification using transfer learning and fennec fox optimization by Indresh Kumar Gupta, Shruti Patil, Supriya Mahadevkar, Ketan Kotecha, Awanish Kumar Mishra, Joel J.P.C. Rodrigues

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