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

Fuzzy sets methods in image processi...

Bloch, Isabelle.

Linked to FindBook

Google Book

Amazon

博客來

Fuzzy sets methods in image processing and understanding = medical imaging applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy sets methods in image processing and understanding/ by Isabelle Bloch, Anca Ralescu.
Reminder of title:	medical imaging applications /
Author:	Bloch, Isabelle.
other author:	Ralescu, Anca L.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xiii, 302 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Preliminaries -- Fuzzy spatial objects (fuzzy geometry and topology, set theoretic operations) -- Mathematical morphology -- Distances and similarities between fuzzy sets -- Machine learning in image processing and understanding -- Fusion -- Spatial relations -- Structural representations.
Contained By:	Springer Nature eBook
Subject:	Image processing - Mathematics. -
Online resource:	https://doi.org/10.1007/978-3-031-19425-2
ISBN:	9783031194252

Fuzzy sets methods in image processing and understanding = medical imaging applications /
Bloch, Isabelle.

Fuzzy sets methods in image processing and understandingmedical imaging applications /[electronic resource] :by Isabelle Bloch, Anca Ralescu. - Cham :Springer International Publishing :2023. - xiii, 302 p. :ill., digital ;24 cm.

Introduction -- Preliminaries -- Fuzzy spatial objects (fuzzy geometry and topology, set theoretic operations) -- Mathematical morphology -- Distances and similarities between fuzzy sets -- Machine learning in image processing and understanding -- Fusion -- Spatial relations -- Structural representations.

This book provides a thorough overview of recent methods using higher level information (object or scene level) for advanced tasks such as image understanding along with their applications to medical images. Advanced methods for fuzzy image processing and understanding are presented, including fuzzy spatial objects, geometry and topology, mathematical morphology, machine learning, verbal descriptions of image content, fusion, spatial relations, and structural representations. For each methodological aspect covered, illustrations from the medical imaging domain are provided. This is an ideal book for graduate students and researchers in the field of medical image processing. This book also: Enriches reader understanding of the latest fuzzy sets methods using higher level information (object or scene level) for advanced tasks, such as image understanding Shares many insights into fuzzy spatial objects, including fuzzy geometry and topology as well as set theoretical operations Covers in detail machine learning in image processing and understanding, with special focus on clustering, classification, and basic and advanced fuzzy methods.

ISBN: 9783031194252

Standard No.: 10.1007/978-3-031-19425-2doiSubjects--Topical Terms:

579707
Image processing
--Mathematics.

LC Class. No.: TA1637.5 / .B56 2023

Dewey Class. No.: 621.367015113223

Fuzzy sets methods in image processing and understanding = medical imaging applications /
LDR:02502nmm a2200325 a 4500 001 2313984
003 DE-He213
005 20221223193449.0
006 m d
007 cr nn 008mamaa
008 230902s2023 sz s 0 eng d
020 $a 9783031194252 $q (electronic bk.)
020 $a 9783031194245 $q (paper)
024 7 $a 10.1007/978-3-031-19425-2 $2 doi
035 $a 978-3-031-19425-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1637.5 $b .B56 2023
072 7 $a TCB $2 bicssc
072 7 $a MED003040 $2 bisacsh
072 7 $a TCB $2 thema
082 0 4 $a 621.367015113223 $2 23
090 $a TA1637.5 $b .B651 2023
100 1 $a Bloch, Isabelle. $3 1245659
245 1 0 $a Fuzzy sets methods in image processing and understanding $h [electronic resource] : $b medical imaging applications / $c by Isabelle Bloch, Anca Ralescu.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xiii, 302 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Preliminaries -- Fuzzy spatial objects (fuzzy geometry and topology, set theoretic operations) -- Mathematical morphology -- Distances and similarities between fuzzy sets -- Machine learning in image processing and understanding -- Fusion -- Spatial relations -- Structural representations.
520 $a This book provides a thorough overview of recent methods using higher level information (object or scene level) for advanced tasks such as image understanding along with their applications to medical images. Advanced methods for fuzzy image processing and understanding are presented, including fuzzy spatial objects, geometry and topology, mathematical morphology, machine learning, verbal descriptions of image content, fusion, spatial relations, and structural representations. For each methodological aspect covered, illustrations from the medical imaging domain are provided. This is an ideal book for graduate students and researchers in the field of medical image processing. This book also: Enriches reader understanding of the latest fuzzy sets methods using higher level information (object or scene level) for advanced tasks, such as image understanding Shares many insights into fuzzy spatial objects, including fuzzy geometry and topology as well as set theoretical operations Covers in detail machine learning in image processing and understanding, with special focus on clustering, classification, and basic and advanced fuzzy methods.
650 0 $a Image processing $x Mathematics. $3 579707
650 0 $a Fuzzy sets. $3 562997
650 0 $a Diagnostic imaging $x Mathematics. $3 754087
650 1 4 $a Biotechnology. $3 571461
650 2 4 $a Computer Vision. $3 3538524
650 2 4 $a Radiology. $3 894545
700 1 $a Ralescu, Anca L. $3 1070812
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-19425-2
950 $a Biomedical and Life Sciences (SpringerNature-11642)