- Course Code :
ITC 432
- Level :
Undergraduate
- Course Hours :
3.00
Hours
- Department :
Department of Computer Science
Instructor information :
Area of Study :
The objective of this course is to introduce the students to the fundamental techniques and algorithms used for acquiring, processing and extracting useful information from digital images. Particular emphasis will be placed on covering methods used for image sampling and quantization, image transforms, image enhancement and restoration, image encoding, image analysis and pattern recognition.
For further information :
Digital image fundamentals; Image enhancement in the spatial domain: grey level transformation; Histogram processing; Spatial filters; Image enhancement in frequency domain: 2-D Fourier transform; Other transforms; Smoothing filters; Sharpening filters; Image restoration; Noise model; Estimating the degradation function; Wiener filter; Geometric transformations; Image segmentation: detection of discontinuities; edge linking and boundary detection; Thresholding; Region based segmentation ; Morphological image processing : operation concepts ; some basic algorithms.
Digitizing images; Color image processing; Image compression; Wavelet and multi-resolution processing; Representation and description; Chain codes; Signatures; boundary descriptors; regional descriptors; Image classification; statistical based classification; Verification of image classification – 3D Imaging – Application Field.
For further information :