ECE 415   Elective – II(3) : IMAGE PROCESSING AND PATTERN RECOGNITION

Credits

Periods

Exam Hrs.

Sessional Marks

Exam Marks

Total Marks

Theory

Tutorial

Lab

4

3

1

3

30

70

100

 

Introduction:

Digital Image Processing and Applications – Image Representation and Modeling – Image Enhancement – Image Restoration – Image Analysis – Image Data Compression.

Digital Image Fundamentals:

Elements of Visual perception – A simple Image Model – Sampling and Quantization – Some Basic Relationship between Pixels.

Image Transforms:

Two Dimensional Orthogonal and Unitary Transforms – Properties of Unitary Transforms – One Dimensional DFT – Two Dimensional DFT – Cosine Transforms – Sine transforms – Hadamard Transforms – Haar Transforms – Slant transforms.

Image Enhancement:

Point Operations – Histogram Modeling – Spatial Operations – Transform Operations.

Image Restoration and Compression:

Image observation models – Inverse and Wiener Filtering – Pixel Coding – Predictive techniques – Transform Coding of Images.

Statistical and Non – Parametric Decision Making:

Applications of Pattern Recognition – Baye’s Theorem – Multiple Features – Conditionality Independent Features – Decision Boundaries – Unequal Costs of Error – Estimation of Error Rates – Kernel and Window Estimator – Nearest Neighborhood Classification Techniques – Adaptive Decision Boundaries – Adaptive Discriminant Functions.

Clustering:

Introduction – Hierarchical Clustering – Partitional Clustering.

Artificial Neural Networks:

Introduction – Nets without Hidden Layers – Nets With Hidden Layers – The Back Propagation Algorithms – Hopfield Nets – Classifying Sex From Facial Images.

Text Books:

Fundamentals of Digital Image Processing, Anil K. Jain, PHI.

Pattern Recognition and Image Analysis, Earl Gose and Richard Johnsonbaugh Steve Jost, PHI.

Digital Image Processing, Rafael C. Gonzalez and Richard E. Woods, Addinson – Wesley.

Image Processing Theory Algorithms and Architecture, M. A. SID – AHMED, McGraw Hill Inc.

 

 

tejus mahiECE 4.1 SyllabusECE,ECE Syllabus,Image Processing And Pattern Recognition Syllabus
ECE 415   Elective – II(3) : IMAGE PROCESSING AND PATTERN RECOGNITION Credits Periods Exam Hrs. Sessional Marks Exam Marks Total Marks Theory Tutorial Lab 4 3 1 - 3 30 70 100   Introduction: Digital Image Processing and Applications – Image Representation and Modeling – Image Enhancement – Image Restoration – Image Analysis – Image Data Compression. Digital Image Fundamentals: Elements of Visual perception – A simple Image Model –...