Digital Image Processing detailed syllabus scheme for Electronics Engineering (EL), 2020-21 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 7th Sem Scheme of Electronics Engineering (EL), 2020-21 Onwards, do visit EL 7th Sem Scheme, 2020-21 Onwards. For the Elective-III scheme of 7th Sem 2020-21 onwards, refer to EL 7th Sem Elective-III Scheme 2020-21 Onwards. The detail syllabus for digital image processing is as follows.
Digital Image Processing Syllabus for Electronics Engineering (EL) 4th Year 7th Sem 2020-21 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 & quantization, Representing digital images, Spatial & 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 & models – RGB, HSI YIQ.
UNIT – 2 Image Enhancement and Restoration
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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 Sobe, 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 Representation and Description
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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 Books:
- 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) 7th Sem 2020-21 onwards, visit EL 7th Sem Subjects of 2020-21 Onwards.