00927nam0-2200313---450-99000870362040332120081008165554.088-14-06659-0000870362FED01000870362(Aleph)000870362FED0100087036220080908d1997----km-y0itay50------baitaITy-------001yy<<Il >>piano urbano del trafficoproblemi e casi pratici nell'attuazione e gestione del pianoPotito IasconeMilanoGiuffrè1997XII, 251 p.24 cmCosa & comeEnti localiTrasporti urbaniPianificazioneIascone,Potito9552ITUNINARICAUNIMARCBK9900087036204033212025 sez. Andriello2025DARPUDARPUPiano urbano del traffico719518UNINA00996nam a22002771i 450099100368324970753620030916134659.0031111s1982 it |||||||||||||||||ita b12460588-39ule_instARCHE-049387ExLDip.to LingueitaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.823.9Crane, Stephen306804Maggie /Stephen Crane ; prefazione di Luciano BianciardiRoma :Editori riuniti,1982XVI, 147 p. ;19 cmUniversale letteratura ;72Trad. di Luciano Bianciardi e Maria Jatosti MemmoBianciardi, LucianoMaggie.b1246058802-04-1413-11-03991003683249707536LE012 818.4 CRA12012000123731le012-E0.00-l- 01210.i1289042x13-11-03Maggie153231UNISALENTOle01213-11-03ma -itait 0103281nam 2200433 u 450 991101971470332120230705080239.0978111985902411198590269781119859031111985903497811198590481119859042(CKB)27378058800041(NjHacI)9927378058800041(Perlego)3739427(EXLCZ)992737805880004120230705d2023 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierImage segmentation principles, techniques, and applications /Tao LeiHoboken, NJ :Wiley-Blackwell,2023.1 online resourceImage Segmentation Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified image that can be more efficiently analyzed. Image segmentation has wide applications in numerous fields ranging from industry detection and bio-medicine to intelligent transportation and architecture. Image Segmentation: Principles, Techniques, and Applications is an up-to-date collection of recent techniques and methods devoted to the field of computer vision. Covering fundamental concepts, new theories and approaches, and a variety of practical applications including medical imaging, remote sensing, fuzzy clustering, and watershed transform. In-depth chapters present innovative methods developed by the authors-such as convolutional neural networks, graph convolutional networks, deformable convolution, and model compression-to assist graduate students and researchers apply and improve image segmentation in their work. * Describes basic principles of image segmentation and related mathematical methods such as clustering, neural networks, and mathematical morphology. * Introduces new methods for achieving rapid and accurate image segmentation based on classic image processing and machine learning theory. * Presents techniques for improved convolutional neural networks for scene segmentation, object recognition, and change detection, etc. * Highlights the effect of image segmentation in various application scenarios such as traffic image analysis, medical image analysis, remote sensing applications, and material analysis, etc. Image Segmentation: Principles, Techniques, and Applications is an essential resource for undergraduate and graduate courses such as image and video processing, computer vision, and digital signal processing, as well as researchers working in computer vision and image analysis looking to improve their techniques and methods. Image segmentationImage segmentationMathematical modelsImage segmentation.Image segmentationMathematical models.006.6Lei Tao1842009NjHacINjHaclBOOK9911019714703321Image segmentation4421940UNINA