Digital Image Processing (DIP) 25-157
Digital Image Processingee.sharif.edu/ dipIntroductionDigital Image Processing (DIP)25-157Lecturer: E. Fatemizadeh1E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Course Information:– Type: Graduated– Credits: 3– Prerequisites: Digital Signal Processing (25155) Convolution DFT/FFT Filtering2E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Reference(s):– Digital Image Processing*, by: R. C. Gonzalezand R. E. Woods, 3rd Ed., 2008, Prentice Hall.– Fundamentals of Digital Image Processing,by: A. K. Jain, 1989, Prentice Hall.– The Image Processing Handbook, by: J. C.Russ, 4th Edition, 2002, CRC Press.3E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Evaluation:––––Middle: 40%Final: 40%Homework: 10% (Paper and Compute Based)Research Project: 10% In depth paper (one) study (Simulation andJudgment) Experiments on real data4E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Journals:–––––––––––IEEE Trans. on Image ProcessingIEEE Trans. on Medical ImagingSignal Processing, Image Communication (Elsevier Science)IEEE Trans. on Visualization and Computer GraphicsIEEE Trans. on Pattern Analysis and Machine IntelligencePattern Recognition, (Pergamon-Elsevier)Pattern Recognition Letters ( Elsevier)IEEE Trans. on Biomedical EngineeringIEEE Trans. on Information Technology in BiomedicineIEEE Trans. on Signal ProcessingSignal Processing (Elsevier Science)5E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Course Contacts and Links:– URL: http:/ee.sharif.edu/ dip Course Lecture Notes– Course Email: dip@ee.sharif.edu– Electronic Homework submission (NOT .rar)!– Submission rule: Subject: DIPn:stdnum– My email: fatemizadeh@{sharif.edu, gmail.com}6E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Digital Image Processing:– First Q’s:Is it a Two Dimensional Signal Processing?– Answer:Not Exactly!– An Images is completely different from 2DSignal. Human Vision/Perception/Intelligibility– Quantization– Eye illusion7E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroductionEye illusionThe squares marked A and B are the same shade ofgray.8E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Digital Image Processing:––––––DSPHuman VisionOther forms of mathematics (i.e. Morphology)ArtHeuristic InferencePattern Recognition9E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Old and Historical Digital Images10E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Our General Definition of image:– A physical property(ies) of an object. Not necessarily visible. Main Physical Property:– Electromagnetic Radiation: From Radio Waves to Cosmic rays A categorization:– Single Channel– Multi Channels11E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Electromagnetic Spectrum:12E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Some Physical Properties (Gamma Ray):Bone ScanCygnus LoopPETGammaRadiation fromreactor valve13E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Some Physical Properties (X-Ray):Chest X-RayCircuit BoardAngiographyCTCygnus Loop14E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Some Physical Properties (Ultraviolet):Normal CornSmut CornUV imagingCygnus Loop15E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Microscopy (Visible Light):CholesterolTaxon (Anti cancer)MicroprocessorNickel Oxide Thin FilmSuperconductorE. Fatemizadeh, Sharif University of Technology, 2012CD Surface16
Digital Image Processingee.sharif.edu/ dipIntroduction A Sample of Multi Channels imaging:– Satellite imaging (NASA LANDSAT)17E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction A Sample of Multi Channels imaging:– Satellite imaging18E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Multispectral image of Hurricane Andrew:19E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Geographical infrared images (1):20E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Geographical infrared images (2):21E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Visual Spectrum:– Inspection22E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Visual Spectrum:– Biometrics– OCR23E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Radar Image of Mountain (Microwave Band):24E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Magnetic Resonance Imaging – MRI (RF):25E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Multichannel Pulsar Images:– Gamma, X-Ray, Optical, Infrared, and Radio26E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Ultrasonic Images (Seismic):– Oil/Gas/Water trap27E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Ultrasonic Images (Medical):– Infants, Thyroid, Muscle28E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Scanning Electron Microscope (SEM):29E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Synthetic Images:30E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction DIP applications (1):– Image Recovering: Reconstruction and Restoration– Image Quality Enrichment: Enhancement and Denoising.– Data Redundancy Reduction: Image Compression (tiff, jpg, png, jp2, )– Automatic Detection and Recognition: OCR, Medical/Industrial CAD, – Authentication: Face, Signature, Fingerprint, Palm, Gesture, Retina Iris.31E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction DIP applications (2):– Machine Vision– Machine Recognition/Verification32E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Fundamental Steps in Image Processing:33E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction Components of an Image Processing System:34E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processingee.sharif.edu/ dipIntroduction An Example of Image Processing Results:35E. Fatemizadeh, Sharif University of Technology, 2012
Digital Image Processing Introduction Digital Image Processing (DIP) 25-157 . Russ, 4th Edition, 2002, CRC Press. ee.sharif.edu/ dip E. Fatemizadeh, Sharif University of Technology, 2012 . –IEEE Trans. on Signal Processing
Java Digital Image Processing 1 Digital Image Processing (DIP) deals with manipulation of digital images using a computer. It is a subfield of signals and systems but focuses particularly on images. DIP focuses on developing a computer system that is able to perform processing on an image. The input of such system is a digital image.
A digital image is a 2D representation of a scene as a finite set of digital values, calledpicture elements or pixels or pels. The field of digital image processing refers to processing digital image by means of a digital computer. NOTE: A digital image is composed of finite number of elements like picture elements, image
agreement with Raspberry Pi and currently is "Raspberry Pi Approved Design Partner" The list of available DiP-Pi is long and continuously updated with new DiP-Pi. Each DiP-Pi is supported with a simple code supporting its features (written in micro-Python or C). The DiP-Pi PICO PIoT (named also DiP-Pi PIoT) is an advanced powering system .
Digital image processing is the use of computer algorithms to perform image processing on digital images. As a . Digital cameras generally include dedicated digital image processing chips to convert the raw data from the image sensor into a color-corrected image in a standard image file format. I
quantities, the image is called a digital image f(x1,y1) 179 x y Gray level digital image Département GE - DIP - Thomas Grenier 6 What is a DIP ? Image definition The definition of f may be extended: as a n-dimensional function, i.e. 3D: f(x,y,z) or image sequence f(x,y,t) with amplitudes composed as a vector of data,
Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subfield of digital signal processing, digital image processing has many advantages over analog image processing; it allows a much wider range of algorithms to be applied to the in
What is Digital Image Processing? Digital image processing focuses on two major tasks -Improvement of pictorial information for human interpretation -Processing of image data for storage, transmission and representation for autonomous machine perception Some argument about where image processing ends and fields such as image
How are you currently supporting your local tourism ADVENTURE INDUSTRY RESPONDENTS: OVERVIEW businesses concerning COVID-19? Tourism boards are primarily supporting the local industry through open communication, and by providing tools, resources and information to help members weather the crisis. % Percentage of respondents . 29 ORGANIZATIONAL CONCERNS (Tourism Boards) ATTA 2020 29. Q36 .
