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001 978-3-319-28854-3
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020 _a9783319288543
_9978-3-319-28854-3
024 7 _a10.1007/978-3-319-28854-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aImage Feature Detectors and Descriptors
_h[electronic resource] :
_bFoundations and Applications /
_cedited by Ali Ismail Awad, Mahmoud Hassaballah.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aIX, 438 p. 213 illus., 84 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 ;
_v630
505 0 _aIntroduction -- Image Features Detection, Description and Matching -- A Review of Image Interest Point Detectors: From Algorithms to FPGA Hardware Implementations -- Image Features Extraction, Selection and Fusion for Computer Vision -- Image Feature Extraction Acceleration -- Satellite Image Registration: A Comparative Study Using Invariant Local Features -- Redundancy Elimination in Video Summarization -- A Real Time Dactylology Based Selective Image Encryption Using Speeded Up Robust Features Extraction Technique and Artificial Neural Network -- Spectral Reflectance Images and Applications -- Image Segmentation using an Evolutionary Method based on Allostatic Mechanisms -- Image Analysis and Coding Based on Ordinal Data Representation -- Intelligent Detection of Foveal Zone from Colored Fundus Images of Human Retina through a Robust Combination of Fuzzy-Logic and Active Contour Model -- Registration of Digital Terrain Images using Nondegenerate Singular Points -- Visual Speech Recognition with Selected Boundary Descriptors -- Application of Texture Features for Classification of Primary Benign and Primary Malignant Focal Liver Lesions -- Application of Statistical Texture Features for Breast Tissue Density Classification.
520 _aThis book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition. .
650 0 _aComputational intelligence.
_97716
650 0 _aImage processing—Digital techniques.
_931565
650 0 _aComputer vision.
_939588
650 0 _aSignal processing.
_94052
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aSignal, Speech and Image Processing .
_931566
700 1 _aAwad, Ali Ismail.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_939589
700 1 _aHassaballah, Mahmoud.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_939590
710 2 _aSpringerLink (Online service)
_939591
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319288529
776 0 8 _iPrinted edition:
_z9783319288536
776 0 8 _iPrinted edition:
_z9783319804415
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v630
_939592
856 4 0 _uhttps://doi.org/10.1007/978-3-319-28854-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76584
_d76584