CEC366 Image Processing Notes
Download CEC366 Image Processing Books, Lecture Notes, Part-A 2 marks with answers, Part-B 16 marks Questions, PDF Books. In this Notes Very Useful for Third Year Fifth Semester Students.
“CEC366 Image Processing Books”
“CEC366 Image Processing Lecture Notes”
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“CEC366 Image Processing Notes”
Subject Info:
Semester | Fifth Semester |
Department | ECE |
Year | Third Year |
Regulation | R 2021 |
Subject Code / Name | CEC366 Image Processing |
Content | Local Authors Books, Lecture Notes |
Syllabus:
CEC366 Image Processing
UNIT 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.
UNIT 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.
UNIT 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
UNIT 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 – Watershedsegmentation algorithm.
UNIT 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.
CEC366 Image Processing Lecture Notes
CEC366 Lecture Notes Collection 01 – DOWNLOAD
CEC366 Lecture Notes Collection 02 – DOWNLOAD
CEC366 Image Processing Important Questions
UNIT I DIGITAL IMAGE FUNDAMENTALS
- Image samping and quantization
- DFT SUMS **
- Color model **
UNIT II IMAGE ENHANCEMENT
- Histogram equalization (sum)**
- Gray level information transformation, image smoothening methods rare
- Butterworth and Gaussian filters, Homomorphic filter**
UNIT III IMAGE RESTORATION
- Image restoration technique
- Wiener filter, statistics filter, adaptive filter**rare band pass filters
UNIT IV IMAGE SEGMENTATION
- Region based segmentation
- Dam construction, Watershed segmentation algorithm**
- Edge detection, Edge linking via Hough transform**
UNIT V IMAGE COMPRESSION AND RECOGNITION
- Two boundary representation**
- Huffman code (baby)**
- Shift, Arithmetic code ,jpeg
CEC366 Image Processing Question Papers
CEC366 Image Processing QP NOV 2023 – DOWNLOAD
CEC366 Image Processing QP APR 2024 – DOWNLOAD