LEADER 04391nam 2200589 a 450 001 9911004823803321 005 20200520144314.0 010 $a1-61583-746-9 010 $a0-8194-8043-6 010 $a9780470544709 024 7 $a10.1117/3.227778 035 $a(CKB)2470000000002899 035 $a(SSID)ssj0000381463 035 $a(PQKBManifestationID)11279843 035 $a(PQKBTitleCode)TC0000381463 035 $a(PQKBWorkID)10382909 035 $a(PQKB)11269257 035 $a(MiAaPQ)EBC728554 035 $a(OCoLC)606642820 035 $a(CaBNVSL)gtp00538487 035 $a(SPIE)9780819480439 035 $a(EXLCZ)992470000000002899 100 $a19960126d1996 uy 0 101 0 $aeng 135 $aurbn||||m|||a 181 $ctxt 182 $cc 183 $acr 200 10$aFundamentals of electronic image processing /$fArthur R. Weeks, Jr 210 $aBellingham, Wash. $cSPIE Optical Engineering Press ;$aNew York $cIEEE Press$dc1996 215 $axiii, 570 p. $cill. (some col.), maps 225 1 $aSPIE/IEEE series on imaging science & engineering 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-8194-2149-9 311 $a0-7803-3410-8 320 $aIncludes bibliographical references and index. 327 $aPreface -- Acknowledgments -- 1. Introduction to electronic image processing. 1.1. Historical background; 1.2. Applications of image processing; 1.3. Introduction to visual perception; 1.4. Image formation; 1.5. Sampling and quantization; 1.6. Image neighbors and distances; 1.7. Typical image processing systems -- 2. Transforms used in electronic image processing. 2.1. The Fourier series; 2.2. The one-dimensional Fourier transform; 2.3. The two-dimensional Fourier transform; 2.4. Important functions relating to the Fourier transform; 2.5. The discrete Fourier transform; 2.6. Example and properties of the discrete Fourier transform; 2.7. Computation of the discrete Fourier transform; 2.8. Other image transforms -- 3. Image enhancement by point operations. 3.1. An overview of point processing; 3.2. Constant and nonlinear operations; 3.3. Operations between images; 3.4. Histogram techniques -- 4. Spatial filtering and fourier frequency methods. 4.1. Various types of noise that appear in images; 4.2. Spatial filtering; 4.3. Spatial frequency filtering; 4.4. Image restoration. 327 $a5. Nonlinear image processing techniques. 5.1. Nonlinear spatial filters based on order statistics; 5.2. Nonlinear mean filters; 5.3. Adaptive filters; 5.4. The homomorphic filter -- 6. Color image processing. 6.1. Color fundamentals; 6.2. Color models; 6.3. Examples of color image processing; 6.4. Pseudocoloring and color displays -- 7. Image geometry and morphological filters. 7.1. Spatial interpolation; 7.2. Image geometry; 7.3. Binary morphology: dilation and erosion; 7.4. Binary morphology: opening, closing, edge detection, and skeletonization; 7.5. Binary morphology: hit-miss, thinning, thickening, and pruning; 7.6. Binary morphology: granulometries and the pattern spectrum; 7.7. Graylevel morphology -- 8. Image segmentation and representation. 8.1. Image thresholding; 8.2. Edge, line, and point detection; 8.3. Region based segmentation; 8.4. Image representation -- 9. Image compression. 9.1. Compression fundamentals; 9.2. Error-free compression methods; 9.3. Lossy compression methods -- Bibliography -- Index. 330 $aThis book is directed to practicing engineers and scientists who need to understand the fundamentals of image processing theory and algorithms to perform their technical tasks. It is intended to fill the gap between existing high-level texts dedicated to specialists in the field and the need for a more practical, fundamental text on image processing. A variety of example images are used to enhance reader understanding of how particular image processing algorithms work. 410 0$aSPIE/IEEE series on imaging science & engineering. 606 $aImage processing 615 0$aImage processing. 676 $a621.36/7 700 $aWeeks$b Arthur R$022004 712 02$aSociety of Photo-optical Instrumentation Engineers. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911004823803321 996 $aFundamentals of electronic image processing$91575453 997 $aUNINA