國立虎尾科技大學 |

Image Fusion

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Image Fusion/ by Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang.
作者:	Xiao, Gang.
其他作者:	Zhang, Xingchen.
面頁冊數:	XVIII, 404 p. 231 illus., 76 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Image Processing and Computer Vision. -
電子資源:	https://doi.org/10.1007/978-981-15-4867-3
ISBN:	9789811548673

Image Fusion
Xiao, Gang.

Image Fusion[electronic resource] /by Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang. - 1st ed. 2020. - XVIII, 404 p. 231 illus., 76 illus. in color.online resource.

Preface -- Author introduction -- Acknowledgement -- Part I: Image Fusion Theories -- Chapter 1: Introduction to Image Fusion -- Chapter 2: Pixel-level Image Fusion -- Chapter 3: Feature-level Image Fusion -- Chapter 4: Decision-level Image Fusion -- Chapter 5: Multi-sensor Dynamic Image Fusion -- Chapter 6: Objective Fusion Metrics -- Chapter 7: Image Fusion Based on Machine Learning and Deep Learning -- Part II: Experimental Examples -- Chapter 8: Example 1: Medical Image Fusion -- Chapter 9: Example 2: Night Vision image Fusion -- Chapter 10: Simulation Platform of Image Fusion.

This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.

ISBN: 9789811548673

Standard No.: 10.1007/978-981-15-4867-3doiSubjects--Topical Terms:

670819
Image Processing and Computer Vision.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Image Fusion
LDR:02604nam a22004215i 4500 001 1025652
003 DE-He213
005 20200831160113.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811548673 $9 978-981-15-4867-3
024 7 $a 10.1007/978-981-15-4867-3 $2 doi
035 $a 978-981-15-4867-3
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 Xiao, Gang. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1321953
245 1 0 $a Image Fusion $h [electronic resource] / $c by Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XVIII, 404 p. 231 illus., 76 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 Preface -- Author introduction -- Acknowledgement -- Part I: Image Fusion Theories -- Chapter 1: Introduction to Image Fusion -- Chapter 2: Pixel-level Image Fusion -- Chapter 3: Feature-level Image Fusion -- Chapter 4: Decision-level Image Fusion -- Chapter 5: Multi-sensor Dynamic Image Fusion -- Chapter 6: Objective Fusion Metrics -- Chapter 7: Image Fusion Based on Machine Learning and Deep Learning -- Part II: Experimental Examples -- Chapter 8: Example 1: Medical Image Fusion -- Chapter 9: Example 2: Night Vision image Fusion -- Chapter 10: Simulation Platform of Image Fusion.
520 $a This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.
650 1 4 $a Image Processing and Computer Vision. $3 670819
650 0 $a Optical data processing. $3 639187
700 1 $a Zhang, Xingchen. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1321956
700 1 $a Liu, Gang. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1321955
700 1 $a Bavirisetti, Durga Prasad. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1321954
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811548666
776 0 8 $i Printed edition: $z 9789811548680
776 0 8 $i Printed edition: $z 9789811548697
856 4 0 $u https://doi.org/10.1007/978-981-15-4867-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)