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One day IETE &
C-DAC Joint
workshop on
INTERNET OF THINGS

15 April 2018, Sunday
(9:30 AM - 4:00 PM)

Download Brochure

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Summer School in Electronics & Computers
(SUSIEC18)

- Brochure -
- Syllabus -
- Form -

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One day IETE workshop on

An Overview of
CONTROL SYSTEMS
Sunday
29th April 2018

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MATLAB

Course syllabus:

(1) Introduction And Digital Image Fundamentals:

      · The origins of Digital Image Processing

      · Examples of Fields that Use Digital Image Processing

      · Fundamentals Steps in Image Processing

      · Elements of Digital Image Processing Systems

(2) Introduction And Digital Image Fundamentals (cont.):

      · Image Sampling and Quantization,

      · Some basic relationships like Neighbours, Connectivity, Distance Measures between
         pixels

      · Translation, Scaling, Rotation and Perspective Projection of image

(3) Introduction And Digital Image Fundamentals (cont.):

      · Linear and Non Linear Operations

      · Digital image Representation

      · Reading, Displaying, Writing Images using MATLAB      

      · Data Classes, Image Types using MATLAB

(4) Digital image Representation (cont.)

      · Converting Between data classes and Image Types

      · Introduction to M Function Programming using MATLAB

      · Image Enhancement in the Spatial Domain:

      · Some basic Gray Level Transformations

      · Histogram Processing

(5) Image Enhancement in the Spatial Domain (cont.):

      · Enhancement Using Arithmetic and Logic operations

      · Combining Spatial Enhancement Methods

      · Basics of Spatial Filters

Tutorial 2

(6) Image Enhancement in the Spatial Domain (cont.):

      · Smoothening and Sharpening Spatial Filters

      · Intensity Transformation Function (MATLAB)

      · Digital Image Processing Application (Design)

(7) Image Enhancement in the Spatial Domain (cont.):

      · Histogram Processing and Function Plotting (MATLAB)

      · Image Enhancement in the Frequency Domain:

      · Introduction to Fourier Transform and the frequency Domain

      · Computing and Visualizing the 2D DFT (MATLAB)

(8) Image Enhancement in the Frequency Domain (cont.):

      · Smoothing Frequency Domain Filters

      · Sharpening Frequency Domain Filters

      · Homomorphic Filtering

(9) Image Restoration:

      · A model of The Image Degradation / Restoration Process

      · Digital Image

      · Noise Models

      · Restoration in the presence of Noise Only Spatial Filtering

      · Processing Application (Implementation)

(10) Image Restoration (cont.):

      · Periodic Noise Reduction by Frequency Domain Filtering

      · Linear Position-Invariant Degradations

      · Estimation of Degradation Function

(11) Image Restoration (cont.):

      · Inverse filtering

      · Wiener filtering

(12) Image Restoration (cont.):

      · Geometric Mean Filter

      · Geometric Transformations

(13) Image Compression:

      · Coding

      · Interpixel and Psychovisual Redundancy

      · Image Compression models

      · Compression standards

(14) Image Segmentation:

      · Detection of Discontinuities

      · Edge linking and boundary detection

      · Thresholding

(15) Object Recognition:

      · Patterns and Pattern Classes

      · Decision-Theoretic Methods

      · Structural Methods

 

 

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AGM-2017 Notice

Minutes of
AGM-16

Balance Sheet

Annual Report
2016 - 2017

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