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Tuesday, December 4, 2012

IT2023 DIGITAL IMAGE PROCESSING SYLLABUS | ANNA UNIVERSITY BE CSE 8TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013

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IT2023 DIGITAL IMAGE PROCESSING SYLLABUS | ANNA UNIVERSITY BE CSE 8TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY 8TH SEMESTER B.E COMPUTER SCIENCE AND ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009

IT2023 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.
.
97
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 PERIODS
TEXT BOOKS:
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 O. Duda, Peter E. HOF, David G. Stork, “Pattern Classification” Wiley
Student Edition, 2006.

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