Feature Based Image Registration and Mosai...

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Beschreibung

Vision is the most powerful among five human senses. Visual information, conveyed in the form of images gives better impact than textual information. The fields of the digital image processing have grown rapidly over the past decades. Digital image processing is concerned primarily with the extraction of useful information from the images. This book is basically, focused on invariant features detectors for the image registration and mosaicing applications. Image registration is the process of determining the optimal spatial transformation that maps one image to another. For example, images captured at different time intervals and/or from different perspectives, from different imaging devices. In this book, we presented a successful detector using steerable filters. Its performance is compared with the four detectors, viz., Harris, SUSAN, KLT and FAST. Numerous registration and mosaic experiments are presented using synthetic, building and other images. We demonstrated that our detector enables accurate and efficient image registration and mosaic applications.

Über den Autor

Mahesh received B.E degree from Gulbarga University and [...] degree from JNTU [...] did Ph.D in the area of Digital Image Processing from JNTUA, [...] is working as an Associate professor in ECE Department, MITS, Madanapalle. His current research interests include computer architecture & microprocessor& Microcontrollers applications

Erscheinungsjahr:	2015
Fachbereich:	Allgemeines
Genre:	Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	136 S.
ISBN-13:	9783659757594
ISBN-10:	3659757594
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Mahesh, Maski Subramanyam, M. V.
Hersteller:	LAP LAMBERT Academic Publishing
Verantwortliche Person für die EU:	LAP Lambert Academic Publishing, Brivibas Gatve 197, ?-1039 Riga, customerservice@vdm-vsg.de
Maße:	220 x 150 x 9 mm
Von/Mit:	Maski Mahesh (u. a.)
Erscheinungsdatum:	03.08.2015
Gewicht:	0,221 kg

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