東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Intelligent analysis of optical images

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent analysis of optical images/ edited by Zhengjun Liu, Yutong Li.
other author:	Liu, Zhengjun.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	ix, 305 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Basic Programming Methods -- 2. Target Recognition -- 3. Autofocusing -- 4. Optical Speckle Analysis -- 5. Velocity Measurement from Motion Blurry Image.
Contained By:	Springer Nature eBook
Subject:	Image analysis. -
Online resource:	https://doi.org/10.1007/978-981-95-3720-4
ISBN:	9789819537204

Intelligent analysis of optical images
Intelligent analysis of optical images[electronic resource] /edited by Zhengjun Liu, Yutong Li. - Singapore :Springer Nature Singapore :2025. - ix, 305 p. :ill. (some col.), digital ;24 cm. - Scientific computation,2198-2589. - Scientific computation..

1. Basic Programming Methods -- 2. Target Recognition -- 3. Autofocusing -- 4. Optical Speckle Analysis -- 5. Velocity Measurement from Motion Blurry Image.

This book highlights intelligent analysis methods for optical images, with a particular emphasis on analytical techniques and programming. Automatic image processing and intelligent analysis represent the future trends of applications and are integral to machine vision analysis. By integrating optical imaging processes with computing technology, operations such as information extraction, modification, and organization can be effectively executed. The study of these intelligent analysis methods is intrinsically linked to various scientific and technological domains, including optics, mathematics, computing, and artificial intelligence. The collection and organization of relevant technologies for intelligent analysis hold significant application value across fields such as autonomous driving, computational vision, artificial intelligence, and multimodal information processing. The demand for accurate, automatic, and rapid image information acquisition is a pressing requirement in contemporary applications. As image processing technology develops rapidly, the distinguishing between image analysis and image processing is not straightforward. Given the vast amount of information contained in images, the necessity to extract pertinent information becomes even more pronounced, thereby conserving time and computational resources for subsequent applications. For optical images, the development and organization of intelligent analysis methods are of urgent importance, carrying substantial significance and social benefits for both application and research endeavors. Intelligent analysis methods are crucial for image acquisition and application, serving as a bridge between the two. When combined with deep learning technology, these methods can facilitate more comprehensive and in-depth research, enabling relevant information and technologies to better serve application tasks. This book is a valuable source of reference for researchers, engineers, and students engaged in the work and study in optical imaging fields.

ISBN: 9789819537204

Standard No.: 10.1007/978-981-95-3720-4doiSubjects--Topical Terms:

561018
Image analysis.

LC Class. No.: TA1637

Dewey Class. No.: 621.367

Intelligent analysis of optical images
LDR:03226nmm a22003375a 4500 001 2422392
003 DE-He213
005 20251116120419.0
006 m d
007 cr nn 008maaau
008 260505s2025 si s 0 eng d
020 $a 9789819537204 $q (electronic bk.)
020 $a 9789819537198 $q (paper)
024 7 $a 10.1007/978-981-95-3720-4 $2 doi
035 $a 978-981-95-3720-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1637
072 7 $a TTB $2 bicssc
072 7 $a SCI053000 $2 bisacsh
072 7 $a TTB $2 thema
082 0 4 $a 621.367 $2 23
090 $a TA1637 $b .I61 2025
245 0 0 $a Intelligent analysis of optical images $h [electronic resource] / $c edited by Zhengjun Liu, Yutong Li.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a ix, 305 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Scientific computation, $x 2198-2589
505 0 $a 1. Basic Programming Methods -- 2. Target Recognition -- 3. Autofocusing -- 4. Optical Speckle Analysis -- 5. Velocity Measurement from Motion Blurry Image.
520 $a This book highlights intelligent analysis methods for optical images, with a particular emphasis on analytical techniques and programming. Automatic image processing and intelligent analysis represent the future trends of applications and are integral to machine vision analysis. By integrating optical imaging processes with computing technology, operations such as information extraction, modification, and organization can be effectively executed. The study of these intelligent analysis methods is intrinsically linked to various scientific and technological domains, including optics, mathematics, computing, and artificial intelligence. The collection and organization of relevant technologies for intelligent analysis hold significant application value across fields such as autonomous driving, computational vision, artificial intelligence, and multimodal information processing. The demand for accurate, automatic, and rapid image information acquisition is a pressing requirement in contemporary applications. As image processing technology develops rapidly, the distinguishing between image analysis and image processing is not straightforward. Given the vast amount of information contained in images, the necessity to extract pertinent information becomes even more pronounced, thereby conserving time and computational resources for subsequent applications. For optical images, the development and organization of intelligent analysis methods are of urgent importance, carrying substantial significance and social benefits for both application and research endeavors. Intelligent analysis methods are crucial for image acquisition and application, serving as a bridge between the two. When combined with deep learning technology, these methods can facilitate more comprehensive and in-depth research, enabling relevant information and technologies to better serve application tasks. This book is a valuable source of reference for researchers, engineers, and students engaged in the work and study in optical imaging fields.
650 0 $a Image analysis. $3 561018
650 0 $a Optical images. $3 3410773
650 1 4 $a Applied Optics. $3 3593597
650 2 4 $a Computer Vision. $3 3538524
650 2 4 $a Image Processing. $3 891209
650 2 4 $a Imaging Techniques. $3 3595537
650 2 4 $a Computational Science and Engineering. $3 893018
650 2 4 $a Automated Pattern Recognition. $3 3538549
700 1 $a Liu, Zhengjun. $3 3629079
700 1 $a Li, Yutong. $3 3782812
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Scientific computation. $3 1569496
856 4 0 $u https://doi.org/10.1007/978-981-95-3720-4
950 $a Physics and Astronomy (SpringerNature-11651)