000			03262nam a22003735i 4500
001			394823
003			ES-MaUEC
005			20230102123202.0
007			cr nn 008mamaa
008			220728s2022 sz | s |||| 0|eng d
020			_a9783031124136
024	7		_a10.1007/978-3-031-12413-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aThird International Conference on Image Processing and Capsule Networks _bICIPCN 2022 _cedited by Joy Iong-Zong Chen, João Manuel R S Tavares, Fuqian Shi
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XV, 841 páginas) _b476 ilustraciones, 356 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 _v514
520			_aThis book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations. Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.
700	1		_aChen, Joy Iong-Zong _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTavares, João Manuel R. S _eeditor literario _0(orcid)0000-0001-7603-6526 _1https://orcid.org/0000-0001-7603-6526 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aShi, Fuqian _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783031124129
776	0	8	_iPrinted edition: _z9783031124143
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-12413-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c394823 _d394823