Academic Year: 2022/2023
Semester: Semester I
Introduction to digital images: why digital images, the digital camera, 2D, 3D and higher dimensional representations, fundamental steps in digital image processing, elements of visual perception, light and electromagnetic spectrum, image sensing and acquisition , sampling and quantization, relationships between pixels; Image operations: histogram processing, spatial filtering; Filtering in the frequency domain: Fourier transform, Discrete Fourier transform (DFT), filtering; Morphological image processing: erosion , dilation , opening, closing, hit-or-miss transform, gray scale morphology; Image segmentation: point, line and edge detection, threshold, region based segmentation, watersheds; Representation and description: boundary descriptors, regional descriptors; Introduction to object recognition: patterns, pattern classes, classification; Color image processing: color models, image segmentation based on color.
Semester: Semester I
Introduction to digital images: why digital images, the digital camera, 2D, 3D and higher dimensional representations, fundamental steps in digital image processing, elements of visual perception, light and electromagnetic spectrum, image sensing and acquisition , sampling and quantization, relationships between pixels; Image operations: histogram processing, spatial filtering; Filtering in the frequency domain: Fourier transform, Discrete Fourier transform (DFT), filtering; Morphological image processing: erosion , dilation , opening, closing, hit-or-miss transform, gray scale morphology; Image segmentation: point, line and edge detection, threshold, region based segmentation, watersheds; Representation and description: boundary descriptors, regional descriptors; Introduction to object recognition: patterns, pattern classes, classification; Color image processing: color models, image segmentation based on color.
- Teacher: Kansaji Kotuwage
- Teacher: Amalka Pinidiyaarachchi