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

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書目名稱Computer Vision and Image Processing影響因子(影響力)




書目名稱Computer Vision and Image Processing影響因子(影響力)學(xué)科排名




書目名稱Computer Vision and Image Processing網(wǎng)絡(luò)公開度




書目名稱Computer Vision and Image Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision and Image Processing被引頻次




書目名稱Computer Vision and Image Processing被引頻次學(xué)科排名




書目名稱Computer Vision and Image Processing年度引用




書目名稱Computer Vision and Image Processing年度引用學(xué)科排名




書目名稱Computer Vision and Image Processing讀者反饋




書目名稱Computer Vision and Image Processing讀者反饋學(xué)科排名

Hemoptysis

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

Morbid

Hirsutism

Lipoma

,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

mercenary

,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

mercenary

,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

Nuance

平淡而無味

中和

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