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Titlebook: Computer Vision and Image Processing; 8th International Co Harkeerat Kaur,Vinit Jakhetiya,Sanjeev Kumar Conference proceedings 2024 The Edi

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书目名称Computer Vision and Image Processing
副标题8th International Co
编辑Harkeerat Kaur,Vinit Jakhetiya,Sanjeev Kumar
视频videohttp://file.papertrans.cn/243/242299/242299.mp4
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Computer Vision and Image Processing; 8th International Co Harkeerat Kaur,Vinit Jakhetiya,Sanjeev Kumar Conference proceedings 2024 The Edi
描述.The three-volume set CCIS 2009, 2010 and 2011 constitutes the refereed post-conference proceedings of the 8th International Conference on Computer Vision and Image Processing, CVIP 2023, held in Jammu, India, during November 3–5, 2023. ..The 140 revised full papers presented in these proceedings were carefully reviewed and selected from 461 submissions. The papers focus on various important and emerging topics in image processing, computer vision applications, deep learning, and machine learning techniques in the domain..
出版日期Conference proceedings 2024
关键词artificial intelligence; color image processing; color images; computer systems; computer vision; image a
版次1
doihttps://doi.org/10.1007/978-3-031-58174-8
isbn_softcover978-3-031-58173-1
isbn_ebook978-3-031-58174-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Automated Detection of Cracks in Asphalt Pavement Images Using Texture Descriptors and Machine Learck. The manual approaches for evaluating a pavement is done by the experts which consumes more time and the occasionally produces subjective results. Hence an 2D digital road image is analyzed to detect the crack automatically. The proposed work focuses on the pre-processing the image, extracting th
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,On the Application of Log Compression and Enhanced Denoising in Contrast Enhancement of Digital Radbased on as low as reasonably achievable (ALARA) principle is employed and this results in low contrast images. To address this issue, post-processing algorithms such as the Multiscale Image Contrast Amplification (MUSICA) algorithm can be used to enhance the contrast of DR images even with a low ra
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,A Lightweight UNet with Inverted Residual Blocks for Diabetic Retinopathy Lesion Segmentation,d by subtle variations among different grades and the presence of numerous important small features, poses a considerable challenge for accurate recognition. Currently, the process of identifying DR relies heavily on the expertise of physicians, making it a time-consuming and labor-intensive task. H
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,A Belief Theory Based Instance Selection Scheme for Label Noise and Outlier Detection from Breast Cgorithms including support vector machine (SVM) is sensitive to noise and outlier samples which can degrade their performance. Belief theory which involves an extension of the general probabilistic model and utilises combination rules for information fusion has found good use in the realm of classif
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Uncovering the Extent of Flood Damage using Sentinel-1 SAR Imagery: A Case Study of the July 2020 Fn July 2020 were mainly due to the heavy monsoon rainfall in the region. The Brahmaputra River and its tributaries, which pass through the state, received substantial rainfall, leading to a sudden increase in water levels and flooding in multiple districts. The state‘s topography, hills, and valleys
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