LEADER 04004nam 22005415 450 001 9910437603903321 005 20200705125549.0 010 $a1-84882-919-1 024 7 $a10.1007/978-1-84882-919-0 035 $a(CKB)3280000000007709 035 $a(SSID)ssj0000897416 035 $a(PQKBManifestationID)11931175 035 $a(PQKBTitleCode)TC0000897416 035 $a(PQKBWorkID)10904415 035 $a(PQKB)11099843 035 $a(DE-He213)978-1-84882-919-0 035 $a(MiAaPQ)EBC3091930 035 $a(PPN)170489132 035 $a(EXLCZ)993280000000007709 100 $a20130508d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPrinciples of Digital Image Processing $eAdvanced Methods /$fby Wilhelm Burger, Mark J. Burge 205 $a1st ed. 2013. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2013. 215 $a1 online resource (XIII, 369 p. 131 illus., 112 illus. in color.) 225 1 $aUndergraduate Topics in Computer Science,$x1863-7310 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-84882-918-3 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Automatic Thresholding -- Filters for Color Images -- Edge Detection in Color Images -- Edge-Preserving Smoothing Filters -- Fourier Shape Descriptors -- SIFT?Scale-Invariant Local Features -- Mathematical Symbols and Notation -- Vector Algebra and Calculus -- Statistical Prerequisites -- Gaussian Filters -- Color Space Transformations. 330 $aThis easy-to-follow textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes (Fundamental Techniques and Core Algorithms) with additional key concepts and methods in image processing. Features and topics: Practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of experience teaching this material Real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners Easily adaptable Java code and completely worked-out examples for easy inclusion in existing (and rapid prototyping of new) applications Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH) Provides a supplementary website with the complete Java source code, test images, and corrections?www.imagingbook.com Additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements This thorough, reader-friendly text will equip undergraduates with a deeper understanding of the topic and will be invaluable for further developing knowledge via self-study. Wilhelm Burger, Ph.D., is the director of the Digital Media degree programs at the Upper Austria University of Applied Sciences at Hagenberg. Mark J. Burge, Ph.D., is a senior principal at MITRE in Washington, D.C. 410 0$aUndergraduate Topics in Computer Science,$x1863-7310 606 $aOptical data processing 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 615 0$aOptical data processing. 615 14$aImage Processing and Computer Vision. 676 $a006.6 676 $a006.37 700 $aBurger$b Wilhelm$4aut$4http://id.loc.gov/vocabulary/relators/aut$0477301 702 $aBurge$b Mark J$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910437603903321 996 $aPrinciples of Digital Image Processing$92524301 997 $aUNINA