Image Processing detailed syllabus scheme for Electronics Engineering (EL), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 6th Sem Scheme of Electronics Engineering (EL), 2017 Onwards, do visit EL 6th Sem Scheme, 2017 Onwards. For the Elective-VII scheme of 6th Sem 2017 onwards, refer to EL 6th Sem Elective-VII Scheme 2017 Onwards. The detail syllabus for image processing is as follows.
Image Processing Syllabus for Electronics Engineering (EL) 3rd Year 6th Sem 2017 DBATU
Course Objectives:
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Course Outcomes:
After successfully completing the course students will be able to
- Develop and implement algorithms for digital image processing.
- Apply image processing algorithms for practical object recognition applications.
Unit 1
Fundamentals of Image Processing
Steps in image processing, Human Visual System, Sampling and quantization, Representing digital images, Spatial and gray-level resolution, Image file formats, Basic relationships between pixels, Distance Measures. Basic operations on images-image addition, subtraction, logical operations, scaling, translation, rotation. Image Histogram. Color fundamentals and models – RGB, HSI YIQ.
Unit 2
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Unit 3
Image Compression
Types of redundancy, Fidelity criteria, Lossless compression – Runlength coding, Huffman coding, Bit-plane coding, Arithmetic coding. Introduction to DCT, Wavelet transform. Lossy compression – DCT based compression, Wavelet based compression. Image and Video Compression Standards – JPEG, MPEG.
Unit 4
Image Segmentation and Morphological Operations
Image Segmentation: Point Detections, Line detection, Edge Detection-First order derivative -Prewitt and Sobel. Second order derivative – LoG, DoG, Canny. Edge linking, Hough Transform, Thresholding – Global, Adaptive. Otsus Method. Region Growing, Region Splitting and Merging. Morphological Operations: Dilation, Erosion, Opening, Closing, Hit-or-Miss transform, Boundary Detection, Thinning, Thickening, Skeleton.
Unit 5
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Unit 6
Object Recognition and Applications
Feature extraction, Patterns and Pattern Classes, Representation of Pattern classes, Types of classification algorithms, Minimum distance classifier, Correlation based classifier, Bayes classifier. Applications: Biometric Authentication, Character Recognition, Content based Image Retrieval, Remote Sensing, Medical application of Image processing.
Reference/Text Book:
- Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Third Edition, -Pearson Education.
- S Sridhar, Digital Image Processing, Oxford University Press.
- Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins, Digital Image Processing Using MATLAB, Second Edition, – Tata McGraw Hill Publication.
- S Jayaraman, S Esakkirajan, T Veerakumar, Digital Image Processing, Tata Mc Graw Hill Publication.
For detail syllabus of all subjects of Electronics Engineering (EL) 6th Sem 2017 onwards, visit EL 6th Sem Subjects of 2017 Onwards.