國立高雄大學圖資館 |

Language: English

Back

Hybrid metaheuristics for image analysis

Bhattacharyya, Siddhartha.

Hybrid metaheuristics for image analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hybrid metaheuristics for image analysisedited by Siddhartha Bhattacharyya.
other author:	Bhattacharyya, Siddhartha.
Published:	Cham :Springer International Publishing :2018.
Description:	xii, 256 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Image analysis.
Online resource:	http://dx.doi.org/10.1007/978-3-319-77625-5
ISBN:	9783319776255$q(electronic bk.)

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$q(electronic bk.)

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

190419
Image analysis.

LC Class. No.: TA1637 / .H93 2018

Dewey Class. No.: 621.367

Hybrid metaheuristics for image analysis
LDR:02345nmm a2200325 a 4500 001 542779
003 DE-He213
005 20180731021433.0
006 m d
007 cr nn 008maaau
008 190411s2018 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 190419
650 0 $a Computational intelligence. $3 210824
650 0 $a Metaheuristics. $3 757062
650 0 $a Heuristic programming. $3 283567
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
700 1 $a Bhattacharyya, Siddhartha. $3 736923
710 2 $a SpringerLink (Online service) $3 273601
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)