1 ECE533 Digital Image Processing Morphological Image Processing.
EC2029 Digital Image Processing
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UNIT I DIGITAL IMAGE FUNDAMENTALSElements of digital image processing systems, Vidicon and Digital Camera working principles, Elementsof visual perception, brightness, contrast, hue, saturation, mach band effect, Color imagefundamentals ‐ RGB, HSI models, Image sampling, Quantization, dither, Two‐dimensionalmathematical preliminaries, 2D transforms ‐ DFT, DCT, KLT, SVD.UNIT II IMAGE ENHANCEMENTHistogram equalization and specification techniques, Noise distributions, Spatial averaging,Directional Smoothing, Median, Geometric mean, Harmonic mean, Contra harmonic mean filters,Homomorphic filtering, Color image enhancement.UNIT III IMAGE RESTORATIONImage Restoration ‐ degradation model, Unconstrained restoration ‐ Lagrange multiplier andConstrained restoration, Inverse filtering‐removal of blur caused by uniform linear motion, Wienerfiltering, Geometric transformations‐spatial transformations.UNIT IV IMAGE SEGMENTATIONEdge detection, Edge linking via Hough transform – Thresholding ‐ Region based segmentation –Region growing – Region splitting and Merging – Segmentation by morphological watersheds – basicconcepts – Dam construction – Watershed segmentation algorithm.UNIT V IMAGE COMPRESSIONNeed for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, VectorQuantization, Transform coding, JPEG standard, MPEG.
Transcript of EC2029 Digital Image Processing
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KSRINSTITUTEFORENGINEERINGANDTECHNOLOGYTIRUCHENGODE637215
DEPARTMENT OF ELECTRONICS AND
COMMUNICATION ENGINEERING
COURSE INSTRUCTOR
W.DEVAPRIYA Assistant Professor / ECE
EC2029DigitalImageProcessing
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EC2029DIGITALIMAGEPROCESSINGLTPC3003AIMTointroducethestudenttovariousimageprocessingtechniques.OBJECTIVESTostudytheimagefundamentalsandmathematicaltransformsnecessaryforimageprocessing.TostudytheimageenhancementtechniquesTostudyimagerestorationprocedures.Tostudytheimagecompressionprocedures.Tostudytheimagesegmentationandrepresentationtechniques.UNITIDIGITALIMAGEFUNDAMENTALSElementsofdigitalimageprocessingsystems,VidiconandDigitalCameraworkingprinciples,Elementsof visual perception, brightness, contrast, hue, saturation, mach band effect, Color imagefundamentals RGB, HSI models, Image sampling, Quantization, dither, Twodimensionalmathematicalpreliminaries,2DtransformsDFT,DCT,KLT,SVD.UNITIIIMAGEENHANCEMENTHistogram equalization and specification techniques, Noise distributions, Spatial averaging,Directional Smoothing,Median,Geometricmean,Harmonicmean,Contraharmonicmean filters,Homomorphicfiltering,Colorimageenhancement.UNITIIIIMAGERESTORATIONImage Restoration degradation model, Unconstrained restoration Lagrange multiplier andConstrainedrestoration, Inversefilteringremovalofblurcausedbyuniform linearmotion,Wienerfiltering,Geometrictransformationsspatialtransformations.UNITIVIMAGESEGMENTATIONEdgedetection, Edge linking viaHough transform Thresholding Regionbased segmentation RegiongrowingRegionsplittingandMergingSegmentationbymorphologicalwatershedsbasicconceptsDamconstructionWatershedsegmentationalgorithm.UNITVIMAGECOMPRESSIONNeed fordatacompression,Huffman,RunLengthEncoding,Shiftcodes,Arithmeticcoding,VectorQuantization,Transformcoding,JPEGstandard,MPEG.TOTAL:45PERIODSTEXTBOOK1.RafaelC.Gonzalez,RichardE.Woods,,DigitalImageProcessing',Pearson,SecondEdition,2004.2.AnilK.Jain,,FundamentalsofDigitalImageProcessing',Pearson2002.REFERENCES1.KennethR.Castleman,DigitalImageProcessing,Pearson,2006.2.RafaelC.Gonzalez,RichardE.Woods,StevenEddins,'Digital ImageProcessingusingMATLAB',PearsonEducation,Inc.,2004.3. D,E. Dudgeon and RM.Mersereau, ,Multidimensional Digital Signal Processing', Prentice HallProfessionalTechnicalReference,1990.4.WilliamK.Pratt,,DigitalImageProcessing',JohnWiley,NewYork,20025.Milan SonkaetaI, 'IMAGEPROCESSING,ANALYSISANDMACHINEVISION',Brookes/Cole,VikasPublishingHouse,2ndedition,1999,
