COURSE SCHEDULE

Thursday 8:10 -- 10:40

Weekly Schedule:

1 Course Plan, Introduction
2 Digital Image Fundamentals:
Image Sensing and Acquisition, Image Sampling and Quantization, Relationship b/w Pixels
3 Digital Image Fundamentals:
Distance Measures, Linear and Non-Linear Operations, Mathematical Operations involved in DIP
4 Image Enhancement in Spatial Domain:
Gray Level Transformations, Histogram Processing
5 Image Enhancement in Spatial Domain:
Enhancement using A/L Operations, Spatial Filtering and its Types
6 Image Enhancement in Frequency Domain:
Fourier Transform and Frequency Domain
7 Image Enhancement in Frequency Domain:
Smoothing Frequency Domain Filters, Sharpening Frequency Domain Filters
8 Image Enhancement in Frequency Domain:
Homomorphic Filtering, Implementation
9 Image Restoration – I
10 Image Restoration – II
11 Morphological Image Processing:
Dilation, Erosion, Opening, Closing, Hit-Miss Transformations
12 Morphological Image Processing:
Boundary Extraction, Region Filling, Convex Hull, Extension to Gray Scale Images
13 Image Segmentation:
Line Detection, Point Detection, Edge Detection
14 Image Segmentation:
Edge Linking and Boundary Detection, Thresholding
15 Color Image Processing – I
16 Color Image Processing – II