Signal And Image Processing Subject from the Semester V B.E Electrical and Instrumentation Of Anna University syllabus. In this article, we aim to provide the unit-wise topics in a detailed manner.
We added the required textbooks and references from the faculty. It will assist you in making preparation strategies for the examination. Having a grip on every topic of the unit you can able to finish the syllabus before everyone else. Hope this information is useful. If you have any queries about the syllabus of EI3501 – Signal And Image Processing. Comment below on this article.
If you want to know more about the B.E Electrical and Instrumentation syllabus connected to an affiliated institution’s four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E Electrical and Instrumentation Syllabus Regulation 2021 Anna University.
Aim Of Concept:
- To study the formation of an image and its acquisition
- To introduce the application of transforms in image processing
- To study techniques for improving quality of information in images
- To get familiarized with image and video processing techniques
- To apply image and video processing in industrial applications
EI3501 – Signal And Image Processing Syllabus
Unit I: Digital Image Fundamentals
Elements of digital image processing systems – Digital Image Representation- Elements of visual perception – Image acquisition – Image sampling and Quantization – Image geometry – Discrete Image Transforms- Properties- Color image fundamentals- RGB, HSI models.
Unit II: Image Preprocessing And Enhancement
Point processing methods:- Contrast stretching – Gray level slicing- Histograms, Histogram equalization and specification techniques, Spatial filtering, Directional Smoothing, Median, Geometric mean, and Harmonic mean filters – Color image enhancement.
Unit III: Image Segmentation And Analysis
Detection of Discontinuities, Edge linking, Boundary detection, Thresholding – Region oriented segmentation-Watershed segmentation – Object detection – Pattern Recognition – Classification.
Unit IV: Digital Video Processing
Video acquisition – Inter-frame processing, Motion Estimation, and Compensation – Filtering – Video segmentation – Tracking by detection – Tracking multiple objects.
Unit V: Applications Of Image And Video Processing
Applications in measurements, manufacturing, medicine, agriculture, and food industry – Case studies.
Text Books:
- Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing, Pearson, Education, Inc., Second Edition, 2004.
- Anil K. Jain, Fundamentals of Digital Image Processing, Pearson Education, Inc., 2002.
- Thomas. B. Moeslund, “Introduction to Video and Image Processing”, Springer, 2012.
References:
- Rafael C. Gonzalez, Richard E. Woods, Steven Eddins, “Digital Image Processing using MATLAB” Pearson Education, Inc., 2004.
- John W. Woods, “Multidimensional Signal, Image and Video Processing”, Elsevier, 2nd Edition 2011.
- William K. Pratt, “Digital Image Processing”, John Wiley, New York, 2002.
- Alan C. Bovik, “Handbook of image and video processing” Elsevier Academic Press, 2005.
- A. Murat Tekalp, “Digital Video Processing”, Prentice Hall, 2nd Edition, 2015.
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