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

Hybrid metaheuristics for image analysis

Bhattacharyya, Siddhartha.

Linked to FindBook

Google Book

Amazon

博客來

Hybrid metaheuristics for image analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hybrid metaheuristics for image analysis/ edited by Siddhartha Bhattacharyya.
other author:	Bhattacharyya, Siddhartha.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xii, 256 p. :ill., digital ;24 cm.
[NT 15003449]:	Current and Future Trends in Segmenting Satellite Images Using Hybrid and Dynamic Genetic Algorithms -- A Hybrid Metaheuristic Algorithm Based on Quantum Genetic Computing for Image Segmentation -- Genetic Algorithm Implementation to Optimize the Hybridization of Feature Extraction and Metaheuristic Classifiers -- Optimization of a HMM-Based Hand Gesture Recognition System Using a Hybrid Cuckoo Search Algorithm -- Satellite Image Contrast Enhancement Using Fuzzy Termite Colony Optimization -- Image Segmentation Using Metaheuristic-Based DeformableModels -- Hybridization of the Univariate Marginal Distribution Algorithm with Simulated Annealing for Parametric Parabola Detection -- Image Thresholding Based on Fuzzy Particle Swarm Optimization -- Hybrid Metaheuristics Applied to Image Reconstruction for an Electrical Impedance Tomography Prototype.
Contained By:	Springer eBooks
Subject:	Image analysis. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-77625-5
ISBN:	9783319776255

Hybrid metaheuristics for image analysis
Hybrid metaheuristics for image analysis[electronic resource] /edited by Siddhartha Bhattacharyya. - Cham :Springer International Publishing :2018. - xii, 256 p. :ill., digital ;24 cm.

Current and Future Trends in Segmenting Satellite Images Using Hybrid and Dynamic Genetic Algorithms -- A Hybrid Metaheuristic Algorithm Based on Quantum Genetic Computing for Image Segmentation -- Genetic Algorithm Implementation to Optimize the Hybridization of Feature Extraction and Metaheuristic Classifiers -- Optimization of a HMM-Based Hand Gesture Recognition System Using a Hybrid Cuckoo Search Algorithm -- Satellite Image Contrast Enhancement Using Fuzzy Termite Colony Optimization -- Image Segmentation Using Metaheuristic-Based DeformableModels -- Hybridization of the Univariate Marginal Distribution Algorithm with Simulated Annealing for Parametric Parabola Detection -- Image Thresholding Based on Fuzzy Particle Swarm Optimization -- Hybrid Metaheuristics Applied to Image Reconstruction for an Electrical Impedance Tomography Prototype.

This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.

ISBN: 9783319776255

Standard No.: 10.1007/978-3-319-77625-5doiSubjects--Topical Terms:

561018
Image analysis.

LC Class. No.: TA1637 / .H93 2018

Dewey Class. No.: 621.367

Hybrid metaheuristics for image analysis
LDR:02345nmm a2200325 a 4500 001 2152149
003 DE-He213
005 20180731021433.0
006 m d
007 cr nn 008maaau
008 190403s2018 gw s 0 eng d
020 $a 9783319776255 $q (electronic bk.)
020 $a 9783319776248 $q (paper)
024 7 $a 10.1007/978-3-319-77625-5 $2 doi
035 $a 978-3-319-77625-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1637 $b .H93 2018
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 621.367 $2 23
090 $a TA1637 $b .H992 2018
245 0 0 $a Hybrid metaheuristics for image analysis $h [electronic resource] / $c edited by Siddhartha Bhattacharyya.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xii, 256 p. : $b ill., digital ; $c 24 cm.
505 0 $a Current and Future Trends in Segmenting Satellite Images Using Hybrid and Dynamic Genetic Algorithms -- A Hybrid Metaheuristic Algorithm Based on Quantum Genetic Computing for Image Segmentation -- Genetic Algorithm Implementation to Optimize the Hybridization of Feature Extraction and Metaheuristic Classifiers -- Optimization of a HMM-Based Hand Gesture Recognition System Using a Hybrid Cuckoo Search Algorithm -- Satellite Image Contrast Enhancement Using Fuzzy Termite Colony Optimization -- Image Segmentation Using Metaheuristic-Based DeformableModels -- Hybridization of the Univariate Marginal Distribution Algorithm with Simulated Annealing for Parametric Parabola Detection -- Image Thresholding Based on Fuzzy Particle Swarm Optimization -- Hybrid Metaheuristics Applied to Image Reconstruction for an Electrical Impedance Tomography Prototype.
520 $a This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.
650 0 $a Image analysis. $3 561018
650 0 $a Computational intelligence. $3 595739
650 0 $a Metaheuristics. $3 2206834
650 0 $a Heuristic programming. $3 698997
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
700 1 $a Bhattacharyya, Siddhartha. $3 2179171
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-77625-5
950 $a Computer Science (Springer-11645)