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AKTU Image Processing (BCS057H) Syllabus PDF – B.Tech 3rd Year
Image Processing BCS057H
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Official AKTU syllabus of Image Processing (BCS057H) for B.Tech 3rd Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Image Processing
Download PDFBCS057H · 3 credits · L-T-P 3-0-0
Course Outcomes
At the end of course , the student will be able:
| CO 1 | Explain the basic concepts of two-dimensional signal acquisition, sampling, quantization and color model. | K , K 1 2 |
| CO 2 | Apply image processing techniques for image enhancement in both the spatial and frequency domains. | K , K 2 3 |
| CO 3 | Apply and compare image restoration techniques in both spatial and frequency domain. | K , K 2 3 |
| CO 4 | Compare edge based and region based segmentation algorithms for ROI extraction. | K , K 3 4 |
| CO 5 | Explain compression techniques and descriptors for image processing. | K , K 2 3 |
Course Content
L-T-P: 3-0-0
| Unit | Topic | Proposed Lecture |
|---|---|---|
| I | DIGITAL IMAGE FUNDAMENTALS: Steps in Digital Image Processing – Components – Elements of Visual Perception – Image Sensing and Acquisition – Image Sampling and Quantization – Relationships between pixels – Color image fundamentals – RGB, HSI models, Two-dimensional mathematical preliminaries, 2D transforms – DFT, DCT. | 08 |
| II | IMAGE ENHANCEMENT: Spatial Domain: Gray level transformations – Histogram processing – Basics of Spatial Filtering– Smoothing and Sharpening Spatial Filtering, Frequency Domain: Introduction to Fourier Transform– Smoothing and Sharpening frequency domain filters – Ideal, Butterworth and Gaussian filters, Homomorphic filtering, Color image enhancement. | 08 |
| III | IMAGE RESTORATION: Image Restoration – degradation model, Properties, Noise models – Mean Filters – Order Statistics – Adaptive filters – Band reject Filters – Band pass Filters – Notch Filters – Optimum Notch Filtering – Inverse Filtering – Wiener filtering | 08 |
| IV | IMAGE SEGMENTATION: Edge detection, Edge linking via Hough transform – Thresholding – Region based segmentation – Region growing – Region splitting and merging – Morphological processing- erosion and dilation, Segmentation by morphological watersheds – basic concepts – Dam construction – Watershed segmentation algorithm. | 08 |
| V | IMAGE COMPRESSION AND RECOGNITION: Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, JPEG standard, MPEG. Boundary representation, Boundary description, Fourier Descriptor, Regional Descriptors – Topological feature, Texture – Patterns and Pattern classes – Recognition based on matching. | 08 |
Text Books
- Rafael C. Gonzalez, Richard E. Woods,Digital Image Processing Pearson, 3rd Edition, 2010
- Anil K. Jain,Fundamentals of Digital Image Processing Pearson, 2002.
- Kenneth R. Castleman,Digital Image Processing Pearson, 2006.
- Rafael C. Gonzalez, Richard E. Woods, Steven Eddins,Digital Image Processing using MATLAB Pearson Education, Inc., 2011.
- D,E. Dudgeon and RM. Mersereau,Multidimensional Digital Signal Processing Prentice Hall Professional Technical Reference, 1990.
- William K. Pratt,Digital Image Processing John Wiley, New York, 2002
- Milan Sonka et al Image processing, analysis and machine vision Brookes/Cole, Vikas Publishing House, 2nd edition, 1999
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