Digital Image processing detailed syllabus for Instrumentation & Control Engineering (ICE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the ICE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Instrumentation & Control Engineering 6th Sem scheme and its subjects, do visit ICE 6th Sem 2021 regulation scheme. For Professional Elective-V scheme and its subjects refer to ICE Professional Elective-V syllabus scheme. The detailed syllabus of digital image processing is as follows.
Course Objectives:
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Unit I
FUNDAMENTALS OF IMAGE PROCESSING
Image perception, MTF of the visual system, Image fidelity criteria, Image model, Image sampling and quantization – two dimensional sampling theory, Image quantization, Optimum mean square quantizer, Image transforms – 2D-DFT and other transforms.
Unit II
BIO-MEDICAL IMAGE PREPROCESSING
Image Enhancement operations – Image noise and modeling, Image restoration – Image degradation model, Inverse and Wiener filtering, Geometric transformations and correction.
Unit III
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Unit IV
IMAGE ANALYSIS AND CLASSIFICATION
Image segmentation- pixel based, edge based, region based segmentation. Active contour models and Level sets for medical image segmentation, Image representation and analysis, Feature Extraction and Representation-Statistical, Shape, Texture features. Statistical and Neural Network based image classification.
Unit V
IMAGE REGISTRATIONS AND VISUALIZATION
Image Registration: Rigid body transformation – Affine transformation, Principal axes registration, Iterative principal axes registration, Feature based registration, Elastic deformation based registration, Registration of Images from Different modalities, Evaluation of Registration Methods. Image visualization: 2-D display methods, 3-D display methods, surface and volume based 3-D display methods – Surface Visualization and Volume visualization, 3-D Echocardiography, 3D+time Echocardiography, virtual reality based interactive visualization.
Skill Development Activities
(Group Seminar/MiniProject/Assignment/Content Preparation / Quiz/ Surprise Test / Solving GATEquestions/ etc)
- Survey different algorithms for segmentation of various medical images.
- Identify suitable open source software for 2D and 3D visualization of medical images.
- Compare various segmentation techniques and its suitability for the given medical image.
- Conduct a literature survey and find the best preprocessing technique for medical images.
- Develop the best Machine learning algorithm to preprocess and classify different images.
Text Books:
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Reference Books:
- Anil K Jain, Fundamentals of Digital Image Processing, 1st Edition, Pearson Education India, 2015.
- Geoff Dougherty, Digital Image Processing for Medical Applications, 1st Edition, Cambridge University Press, 2010.
- Jerry L.Prince and Jonathan M.Links, Medical Imaging Signals and Systems, 2ndEdition, Pearson Education, 2014.
- Kavyan Najarian and Robert Splerstor, Biomedical signals and Image processing, 2ndEdition, CRC Press, 2012.
- Ravikanth Malladi, Geometric Methods in Bio-Medical Image Processing (Mathematics and Visualization), 1st Edition, Springer-Verlag Berlin Heidelberg 2002.
- A. Ardeshir Goshtasby, Image Registration Principles, Tools and Methods (Advances in Computer Vision and Pattern Recognition), Springer 2014.
- Joseph V. Hajnal, Derek L.G. Hill and David J. Hawkes, Medical Image Registration, CRC Press, 2001.
List of Open Source Software/ Learning Website:
For detailed syllabus of all the other subjects of Instrumentation & Control Engineering 6th Sem, visit ICE 6th Sem subject syllabuses for 2021 regulation.
For all Instrumentation & Control Engineering results, visit Anna University ICE all semester results direct link.