Advanced Optical Image Processing Techniques

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Explore the world of optical image processing through advanced techniques and applications. Learn about digital image processing fundamentals, types of image processing, DIY filters, and key applications in science and technology. Dive deep into the realm of image enhancement, restoration, and segmentation for a comprehensive understanding of this evolving field.

  • Optical Image Processing
  • Digital Processing
  • Image Enhancement
  • Applications
  • DIY Filters

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  1. Optical Image Processing Ass.proff. Dr. Mohamad J. Albermani 1 2020-2021

  2. Introduction Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. 2 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  3. Types of image processing 1. Optical image processing 2.Digital image processing 3 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  4. Digital Image processing fundamentals Fundamental steps in Digital Image Processing : Image Acquisition. This is the first step or process of the fundamental steps of digital image processing. ... Image Enhancement. ... Image Restoration. ... Color Image Processing. ... Wavelets and Multiresolution Processing. ... Compression. ... Morphological Processing. ... Segmentation. 4 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  5. Applications of Imege processing Some of the important applications of image processing in the field of science and technology include: Computer vision Remote sensing Feature extraction Face detection Forecasting Optical character recognition Finger-print detection Microscope imaging 5 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  6. DIY Filters. Standard Filters. GPUGraphics Processing Unit, the main IC on a graphics adapter (Grafikkarte) Filters. OpenCV Filters. ImageJ Filters. 6 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  7. 7 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  8. 8 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  9. 9 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  10. 10 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  11. 11 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  12. 12 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  13. 13 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  14. 14 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  15. Filters in optical image processing Computer simulation using MATLAB 1.Coherent low pass and bandpass filters 2.Incoherent spatial filtering 15 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  16. Main program forStrain measurement function varargout = StrainMeasurement(varargin) % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @StrainMeasurement_OpeningFcn, ... 'gui_OutputFcn', @StrainMeasurement_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []); 16 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

  17. Continue main program if nargin && ischar(varargin{1}) gui_State.gui_Callback = str2func(varargin{1}); end if nargout [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:}); else gui_mainfcn(gui_State, varargin{:}); end % End initialization code - DO NOT EDIT 17 2020-2021 Email :info@alkafeel.edu.iq Website :http://Alkafeel.edu.iq

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