Advances in Image Processing, Analysis and Recognition Technology

• Autore: Frejlichowski Dariusz
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (386 p.)
• Soggetto topico: Computer science; Information technology industries
• Soggetto non controllato: action recognition; active ageing; affine motion compensation; ambient assisted living; artificial intelligence; atmospheric-light estimation; attention; automatic cell segmentation; balanced sampling; bi-histogram equalization; bilingual scene text reading; block-based coding; BOF; CIELab; classification; classification accuracy; coal; coarse-to-fine search strategy; coke; component Substitution; compressed sensing; contrast ratio; convolution neural network (CNN); convolutional neural network; convolutional neural networks; cyclical learning rates; dark channel; deep learning; deep transfer learning; dental application; details preservation; detection; DPCNN; Ethiopic script; feature extraction; fine-tuning; frame; Gene Expression Programming (GEP); gradient; H.265/HEVC; handwritten digit recognition; haze removal; historical document analysis; homography matrix; identification; IKONOS; image analysis; image fusion; image preclassification; image processing; image quality; image registration; images; inertinite macerals; intensity correction; iron ore; label smoothing; learning rate scheduler; local dimming; local homography transformation; magnitude; motion; moving direct linear transformation; multi-scale sampling; multifractal analysis; n/a; nasal cytology; neural networks; numeral spotting; object detection; octave convolution; optical; Pan sharpening; pansharpening; parseval frame; plant recognition; Pléiades VHR Image; reactivity; remote sensing; retinex theory; RGB-D; rhinology; RIP; saliency; salient object detection; Satellite Pour l'Observation de la Terre (SPOT) 6; segmentation; shape context; shape features; silhouette sequences; sinter; small object; sparse dictionary; sparse representation; spatial consistency; spectral consistency; spectrum correction; stable recovery; structure; super-resolution (SR); support vector machine; suspicious behavior detection; synthesis; texture; tradeoff process; transform; video coding
• Persona (resp. second.): FrejlichowskiDariusz
• Sommario/riassunto: For many decades, researchers have been trying to make computers' analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues still remain, resulting in the need for the development of novel approaches.
• Titolo autorizzato: Advances in Image Processing, Analysis and Recognition Technology
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910576879103321
• Lo trovi qui: Univ. Federico II