Search Results - image processing methods

Low Spatio-Temporal Frequency Wavefront Aberration Correction Method Based on a Movable Secondary Mirror by Yawei Xiao, Simin Zhao, Junbo Zhang, Linhai Huang, Naiting Gu

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Classification of Paddy Crop Disease Using SVM from GLCM Features Obtained from Wavelet Sub-Band Decomposed Images by Karthick Mookkandi, Malaya Kumar Nath, Mathumathi Mookkandi, Vinoth Kumar Kalimuthu

“…Traditional diagnostic approaches, however, are often labor-intensive and financially burdensome. Advanced image processing techniques offer refined solutions for disease detection, severity grading, and prompt intervention, proving highly suitable for extensive farming practices. …”
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Visual and computer-based technologies of soil automated decoding by T. V. Korolyuk

“…Some methodical approaches are proposed to modify the decoding process for obtaining the more reliable information on the studied object…”
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EHO-Q-LGAN: An EHO-Based Q-Learning GAN for the Timely Diagnosis of Diabetic Retinopathy by Maneesha Vadduri, P. Kuppusamy

“…The dynamic segmentation model accurately identifies internal retinal components by incorporating advanced methods for image processing such as vessel enhancement, multi-scale analysis, and adaptive thresholding processes. …”
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Fast and Accurate Sperm Detection Algorithm for Micro-TESE in NOA Patients by Mahmoud Mohamed, Konosuke Kachi, Kohei Motoya, Masashi Ikeuchi

“…Methods: We present SD-CLIP (Sperm Detection using Classical Image Processing), a lightweight, real-time algorithm that simulates sperm structure detection from unstained DIC images. …”
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Development of an automatic monitoring system for rice light-trap pests based on machine vision by Qing YAO, Jin FENG, Jian TANG, Wei-gen XU, Xu-hua ZHU, Bao-jun YANG, Jun LÜ, Yi-ze XIE, Bo YAO, Shu-zhen WU, Nai-yang KUAI, Li-jun WANG

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Evaluation of the results of pansharpening multispectral images by Y. I. Golub

“…When processing digital images obtained by remote sensing of the Earth, various methods are used to increase their resolution. …”
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Reduction of Multiplicative Noise in Radar Images by A. A. Tuzova, V. A. Pavlov, A. A. Belov

“…The quality of filtration was assessed using an expert method (visually) by comparing images before and after filtration, differential images and one-dimensional image slices. …”
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High-resolution image inpainting using a probabilistic framework for diverse images with large arbitrary masks by G. Sumathi, M. Uma Devi

“…Addressing inpainting challenges in high-resolution images remains a complex task. The most recent image inpainting techniques rely on machine learning models; however, a major limitation of supervised methods is their dependence on end-to-end training. …”
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DIAGNOSTIC IMAGING STANDARDS FOR BONE METASTASES by N. I. Sergeev, P. M. Kotlyarov, V. A. Solodkiy

“…The purpose of the study was an attempt to create universal criteria for the diagnostic imaging of bone metastases allowing biopsy to be avoided.Material and methods. …”
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Effective Algorithm for Biomedical Image Segmentation by Zhao Di, Tang Yi, A. B. Gourinovitch

“…The algorithm establishes connections between feature maps, which is used in medicine for image processing. The proposed method is tested on three public datasets: Kvasir-SEG, CVC-ClinicDB and 2018 Data Science Bowl. …”
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SELF-Adaptability SOFTWARE FOR IMAGE ANALYSIS by A. M. Nedzved, V. V. Starovoytov

“…It is based on control shell of scripts generating that are controlled by an intelligent agent in software. The method is based on a combination of features of dynamic libraries and interpreter with a lot of functions for image processing.…”
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Majority clustering for imbalanced image classification by Keshav Sharma, Jyoti Arora, Pooja Kherwa, Zainab Alansari

“…The effectiveness of the proposed model is evaluated on various benchmark datasets, demonstrating their ability to improve the predictive performance of the proposed MCIIC on imbalanced image datasets. Through empirical evaluation, we showcase the impact of proposed technique on model accuracy, precision, recall, and F1-score, highlighting its importance as a pre-processing step in handling imbalanced image datasets. …”
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Dyssynchrony imaging for cardiac resynchronization therapy by S. V. Zubarev, A. I. Mishkina, S. I. Sazonova

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Avocado fruit sorting by hyperspectral images by D. A. Metlenkin, R. A. Platova, Yu. T. Platov, O. V. Fedoseenko, O. V. Sadkova

“…The paper shows the use of the methods of hyperspectral imaging (HSI) in a range of 400–1000 nm and multivariate analysis for sorting Hass avocado fruits. …”
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RADIOLOGIC IMAGING OF CHRONIC DISEASES OF JOINTS by G. P. Volkov, M. V. Babaev

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steganography in colored images based on biometrics by Zeena Nabeel Jameel AL-Kateeb, Marriam Raad Jasim Mohammed AL-Bazaz

“…The proposed method was applied to a set of images to hide a set of confidential messages and the visual quality of the cover image was not affected after the concealment. …”
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Quadrature Multiplexed Structured Illumination Imaging by Chengyang Hu, Sigang Yang, Minghua Chen, Hongwei Chen

“…QMSI incorporates the illumination pattern spatial phase information as a new parameter into the encoding process. This strategy can double the frequency spectrum utilization without any overhead compared to MSI, which means it can double the image sequence depth or image spatial resolution. …”
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No-reference digital image quality assessment of offline signature by Y. I. Golub

“…For example, it can be used during image registration, selection of processing methods and its parameters adjustment, after performing various operations (such as rotation or scaling) and the need to evaluate and analyze the obtained signature images. …”
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A visual positioning method for tunnel boring machines in underground coal mines based on anchor net features by Xuhui ZHANG, Yunkai CHI, Yuyang DU, Junying JIANG, Wenjuan YANG, Youjun ZHAO, Jicheng WAN, Yanqun WANG, Chenhui TIAN

“…This study proposed a visual positioning method for TBMs in underground coal mines based on anchor net features.MethodsA three-stream depthwise separable convolutional neural network (TSCR-NET) for image enhancement was employed to estimate the reflection, illumination, and noise in images individually. …”
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