Cargando…

Soft Computing Techniques in Vision Science

This Special Edited Volume is a unique approach towards Computational solution for the upcoming field of study called Vision Science. From a scientific firmament Optics, Ophthalmology, and Optical Science has surpassed an Odyssey of optimizing configurations of Optical systems, Surveillance Cameras...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Patnaik, Srikanta (Editor ), Yang, Yeon-Mo (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Studies in Computational Intelligence, 395
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-642-25507-6
003 DE-He213
005 20220115031340.0
007 cr nn 008mamaa
008 120210s2012 gw | s |||| 0|eng d
020 |a 9783642255076  |9 978-3-642-25507-6 
024 7 |a 10.1007/978-3-642-25507-6  |2 doi 
050 4 |a Q342 
072 7 |a UYQ  |2 bicssc 
072 7 |a TEC009000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Soft Computing Techniques in Vision Science  |h [electronic resource] /  |c edited by Srikanta Patnaik, Yeon-Mo Yang. 
250 |a 1st ed. 2012. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2012. 
300 |a XIV, 222 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 395 
505 0 |a From the content: Genetic Algorithm Based Fuzzy Frequent Pattern Mining from Gene Expression Data -- Prediction of Protein Tertiary Structure Using Genetic Algorithm -- Hybrid Image mining Methods to Classify the Abnormality in Complete Field Image Mammograms Based on Normal Regions -- Handwritten Script Recognition using DCT, Gabor Filter and Wavelet Features at Line Level -- Character Recognition using 2D View and Support Vector Machine -- Automatic localization of pupil using histogram thresholding and region based mask filter. 
520 |a This Special Edited Volume is a unique approach towards Computational solution for the upcoming field of study called Vision Science. From a scientific firmament Optics, Ophthalmology, and Optical Science has surpassed an Odyssey of optimizing configurations of Optical systems, Surveillance Cameras and other Nano optical devices with the metaphor of Nano Science and Technology. Still these systems are falling short of its computational aspect to achieve the pinnacle of human vision system. In this edited volume much attention has been given to address the coupling issues Computational Science and Vision Studies.  It is a comprehensive collection of research works addressing various related areas of Vision Science like Visual Perception and Visual system, Cognitive Psychology, Neuroscience, Psychophysics and Ophthalmology, linguistic relativity, color vision etc. This issue carries some latest developments in the form of research articles and presentations. The volume is rich of contents with technical tools for convenient experimentation in Vision Science. There are 18 research papers having significance in an array of application areas. The volume claims to be an effective compendium of computing developments like Frequent Pattern Mining, Genetic Algorithm, Gabor Filter, Support Vector Machine, Region Based Mask Filter, 4D stereo camera systems, Principal Component Analysis etc. The detailed analysis of the papers can immensely benefit to the researchers of this domain. It can be an Endeavour in the pursuit of adding value in the existing stock of knowledge in Vision Science. 
650 0 |a Computational intelligence. 
650 0 |a Computer vision. 
650 1 4 |a Computational Intelligence. 
650 2 4 |a Computer Vision. 
700 1 |a Patnaik, Srikanta.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Yang, Yeon-Mo.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642444401 
776 0 8 |i Printed edition:  |z 9783642255083 
776 0 8 |i Printed edition:  |z 9783642255069 
830 0 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 395 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-642-25507-6  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)