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008			210909s2022 sz | s |||| 0|eng d
020			_a9783030847609
024	7		_a10.1007/978-3-030-84760-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1637 _b2022 EB
245	0	0	_aSecond International Conference on Image Processing and Capsule Networks : _bICIPCN 2021 _cedited by Joy Iong-Zong Chen, João Manuel R. S. Tavares, Abdullah M. Iliyasu, Ke-Lin Du
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVIII, 825 páginas) _b505 ilustraciones, 360 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Networks and Systems _x2367-3389 _v300
505	0		_aA Survey of Machine Learning Techniques Applied for Automatic Traffic Light Recognition -- Machine Learning based Detection and Classification of Heart Abnormalities -- An Evaluation of Multiclass Leaf Classification using Transfer Learning Techniques -- Scene Generated with Text guidance(VAAB System) -- Machine Learning Approaches for Image Quality Improvement -- Natural Disaster Prediction by using Image based Deep Learning and Machine Learning -- A Novel Multi-Objective Differential Evolution Algorithm for Clustering Data Streams -- An Algorithm for Pre-processing of Areca nut for Quality Classification -- An Effect of Binarization on Handwritten Digits Recognition by Hierarchical Neural Networks -- Deep Convolutional Neural Networks (CNNs) to Detect Abnormality in Musculoskeletal Radiographs.
520			_aThis book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-time image processing applications. The chapters will briefly discuss about the intelligent image processing technologies, which leverage an authoritative and detailed representation by delivering an enhanced image and video recognition and adaptive processing mechanisms, which may clearly define the image and the family of image processing techniques and applications that are closely related to the humanistic way of thinking.
988			_aSpringer_Robotics_2022
650		7	_2embne _9413188 _aProceso digital de imágenes
776	0	8	_iPrinted edition: _z9783030847593
776	0	8	_iPrinted edition: _z9783030847616
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-84760-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eu _zSI