Tuesday, July 10, 2012

IT9024-DIGITAL IMAGE PROCESSING-ANNA UNIVERSITY SYLLABUS IT


IT9024-DIGITAL IMAGE PROCESSING-ANNA UNIVERSITY SYLLABUS IT


IT9024                                DIGITAL IMAGE PROCESSING                               L T P C
3  0 0 3
AIM:
The aim is to inculcate a basic training in the processing of images for practical applications in the domain of medical, remoting sessions and in general.

OBJECTIVES:
§    To introduce basic concepts in acquiring, storage and Process of images
§    To introduce for enhancing the quality of images.
§    To introduce techniques for extraction and processing of region of interest
§    To introduce case studies of Image Processing.

UNIT I             FUNDAMENTALS  OF IMAGE PROCESSING                                        9
Introduction   Steps in Image  Processing  Systems   Image  Acquisition   Sampling and  Quantization   Pixel  Relationships   Colour  Fundamentals  and  Models,  File Formats, Image operations Arithmetic, Geometric and Morphological.
.
UNIT II            IMAGE ENHANCEMENT                                                                          9
Spatial Domain Gray level Transformations Histogram Processing  Spatial Filtering Smoothing  and  Sharpening.  Frequency  Domain  : Filtering  in Frequency  Domain  DFT, FFT, DCT Smoothing and Sharpening filters Homomorphic Filtering.
.
UNIT III           IMAGE SEGMENTATION AND FEATURE ANALYSIS                         9
Detection of Discontinuities Edge Operators Edge Linking and Boundary Detection
Thresholding Region Based Segmentation Morphological WaterSheds Motion
Segmentation, Feature Analysis and Extraction.

UNIT IV           MULTI RESOLUTION ANALYSIS AND COMPRESSIONS                   9
Multi Resolution Analysis : Image Pyramids Multi resolution expansion Wavelet Transforms.Image  Compression  : Fundamentals   Models Elements of Information Theory Error Free Compression Lossy Compression Compression Standards.

UNIT V            APPLICATIONS OF IMAGE PROCESSING                                           9
Image  Classification   Image  Recognition   Image  Understanding   Video  Motion Analysis Image Fusion Steganography   Digital Compositing Mosaics Colour Image Processing..
TOTAL: 45 PERIOD


 TEXT BOOK:
1. Rafael C.Gonzalez and Richard E.Woods, Digital Image Processing” Second
Edition, Pearson Education, 2003.

REFERENCES:

1.  Milan Sonka, Vaclav Hlavac and Roger Boyle, Image Processing,  Analysis and
Machine Vision, Second Edition, Thomson Learning, 2001
2.     Anil K.Jain, Fundamentals of Digital Image Processing, PHI, 2006.
3.   Sanjit K. Mitra, & Giovanni L. Sicuranza, Non Linear Image Processing, Elsevier,
2007.
4.   Richard  ODuda,  Peter E. HOF,  David  G. Stork,  Pattern  Classification Wiley
Student Edition, 2006.


CLICK HERE FOR ALL SUBJECTS

7/10/2012 12:26:00 PM

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