000 03819nam a22005895i 4500
001 978-981-15-1362-6
003 DE-He213
005 20220801214343.0
007 cr nn 008mamaa
008 191207s2020 si | s |||| 0|eng d
020 _a9789811513626
_9978-981-15-1362-6
024 7 _a10.1007/978-981-15-1362-6
_2doi
050 4 _aTA329-348
050 4 _aTA345-345.5
072 7 _aTBJ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aTBJ
_2thema
082 0 4 _a620
_223
245 1 0 _aRecent Advances on Memetic Algorithms and its Applications in Image Processing
_h[electronic resource] /
_cedited by D. Jude Hemanth, B. Vinoth Kumar, G. R. Karpagam Manavalan.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aXIV, 199 p. 69 illus., 45 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v873
505 0 _aAn Evolutionary Computing Approach to Solve Object Identification Problem for fall detection in Computer Vision based Video Surveillance Applications -- Texture-dependent Optimal Fractional-order Framework for Image Quality Enhancement through Memetic Inclusions in Cuckoo Search and Sine-Cosine Algorithms -- Artificial Bee Colony: Theory, Literature Review, and Application in Image Segmentation -- Applications of Memetic Algorithms in Image Processing Using Deep Learning -- Recent Applications of Swarm-based Algorithms to Color Quantization -- Hybrid Biogeography Based Optimization Techniques for Geo-Spatial Feature Extraction: A Brief Survey -- An Efficient Copy-move Forgery Detection Technique using Nature-Inspired Optimization Algorithm -- Design and Implementation of Hybrid Plate Tectonics Neighborhood based ADAM’s Optimization and its application on Crop Recommendation -- An Evolutionary Memetic Weighted Associative Classification Algorithm for Heart Disease Prediction.
520 _aThis book includes original research findings in the field of memetic algorithms for image processing applications. It gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.
650 0 _aEngineering mathematics.
_93254
650 0 _aEngineering—Data processing.
_931556
650 0 _aComputer vision.
_937861
650 0 _aAlgorithms.
_93390
650 1 4 _aMathematical and Computational Engineering Applications.
_931559
650 2 4 _aComputer Vision.
_937862
650 2 4 _aAlgorithms.
_93390
700 1 _aHemanth, D. Jude.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_937863
700 1 _aKumar, B. Vinoth.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_937864
700 1 _aManavalan, G. R. Karpagam.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_937865
710 2 _aSpringerLink (Online service)
_937866
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811513619
776 0 8 _iPrinted edition:
_z9789811513633
776 0 8 _iPrinted edition:
_z9789811513640
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v873
_937867
856 4 0 _uhttps://doi.org/10.1007/978-981-15-1362-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76253
_d76253