國立虎尾科技大學 |

Guide to Signals and Patterns in Image Processing = Foundations, Methods and Applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Guide to Signals and Patterns in Image Processing/ by Apurba Das.
Reminder of title:	Foundations, Methods and Applications /
Author:	Das, Apurba.
Description:	XXIV, 416 p. 372 illus., 102 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Optical data processing. -
Online resource:	https://doi.org/10.1007/978-3-319-14172-5
ISBN:	9783319141725

Guide to Signals and Patterns in Image Processing = Foundations, Methods and Applications /
Das, Apurba.

Guide to Signals and Patterns in Image ProcessingFoundations, Methods and Applications /[electronic resource] :by Apurba Das. - 1st ed. 2015. - XXIV, 416 p. 372 illus., 102 illus. in color.online resource.

Introduction to Digital Images -- Image Enhancement in the Spatial Domain -- Interpretation and Processing of Images in the Frequency Domain -- Color Science and Color Technology -- Wavelets: Multi-Resolution Image Processing -- Compression and Encoding of Images: Image Formats -- Morphology-Based Image Processing -- Patterns in Images and their Applications -- Psycho-Visual Pattern Recognition: Computer Vision -- Appendix A: Digital Differentiation and Edge Detection -- Appendix B: Elementary Probability Theory -- Appendix C: Frequently Used MATLAB Functions.

This unique text/reference reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition. The book describes a rich array of applications, representing the latest trends in industry and academic research. To inspire further interest in the field, a selection of elegant, worked-out numerical problems are also included in the text. The content is presented in an accessible manner, examining each topic in depth without assuming any prior knowledge from the reader, and providing additional background material in the appendices. Topics and features: Introduces the processes of sampling, quantization and encoding of images, as well as the operations of convolution and correlation, and the basic geometric transformations Covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain Describes the basics of the physics of light and color, and of the psycho-visual color system Reviews compression methods and formats for encoding images Discusses morphology-based image processing, which bridges signal processing and pattern recognition perspectives Examines state-of-the-art applications of techniques for feature extraction, selection, and reduction Investigates the modeling of object recognition in the human visual system for computer vision Provides electronic supplementary material, including MATLAB and C++ code, interactive GUI-based modules, and teaching slides at an associated website Appealing to a broad audience of students, tutors, researchers and professionals, this work offers an indispensable guide to image processing, pattern recognition and computer vision. The coverage draws upon the author’s extensive experience in academic teaching and training, government R&D, and private industry.

ISBN: 9783319141725

Standard No.: 10.1007/978-3-319-14172-5doiSubjects--Topical Terms:

639187
Optical data processing.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Guide to Signals and Patterns in Image Processing = Foundations, Methods and Applications /
LDR:03853nam a22004215i 4500 001 970760
003 DE-He213
005 20200701103628.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319141725 $9 978-3-319-14172-5
024 7 $a 10.1007/978-3-319-14172-5 $2 doi
035 $a 978-3-319-14172-5
050 4 $a TA1630-1650
072 7 $a UYT $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYT $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 006.6 $2 23
082 0 4 $a 006.37 $2 23
100 1 $a Das, Apurba. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 775271
245 1 0 $a Guide to Signals and Patterns in Image Processing $h [electronic resource] : $b Foundations, Methods and Applications / $c by Apurba Das.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a XXIV, 416 p. 372 illus., 102 illus. in color. $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
505 0 $a Introduction to Digital Images -- Image Enhancement in the Spatial Domain -- Interpretation and Processing of Images in the Frequency Domain -- Color Science and Color Technology -- Wavelets: Multi-Resolution Image Processing -- Compression and Encoding of Images: Image Formats -- Morphology-Based Image Processing -- Patterns in Images and their Applications -- Psycho-Visual Pattern Recognition: Computer Vision -- Appendix A: Digital Differentiation and Edge Detection -- Appendix B: Elementary Probability Theory -- Appendix C: Frequently Used MATLAB Functions.
520 $a This unique text/reference reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition. The book describes a rich array of applications, representing the latest trends in industry and academic research. To inspire further interest in the field, a selection of elegant, worked-out numerical problems are also included in the text. The content is presented in an accessible manner, examining each topic in depth without assuming any prior knowledge from the reader, and providing additional background material in the appendices. Topics and features: Introduces the processes of sampling, quantization and encoding of images, as well as the operations of convolution and correlation, and the basic geometric transformations Covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain Describes the basics of the physics of light and color, and of the psycho-visual color system Reviews compression methods and formats for encoding images Discusses morphology-based image processing, which bridges signal processing and pattern recognition perspectives Examines state-of-the-art applications of techniques for feature extraction, selection, and reduction Investigates the modeling of object recognition in the human visual system for computer vision Provides electronic supplementary material, including MATLAB and C++ code, interactive GUI-based modules, and teaching slides at an associated website Appealing to a broad audience of students, tutors, researchers and professionals, this work offers an indispensable guide to image processing, pattern recognition and computer vision. The coverage draws upon the author’s extensive experience in academic teaching and training, government R&D, and private industry.
650 0 $a Optical data processing. $3 639187
650 0 $a Pattern recognition. $3 1253525
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 1 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Pattern Recognition. $3 669796
650 2 4 $a Signal, Image and Speech Processing. $3 670837
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319141732
776 0 8 $i Printed edition: $z 9783319141718
776 0 8 $i Printed edition: $z 9783319377995
856 4 0 $u https://doi.org/10.1007/978-3-319-14172-5
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)