Semester:
7th
Course Type:
Elective Specialization courses (ΠΜ-E)
Track:
-
Code:
ΕΠ10
ECTS:
6
TEACHING HOURS per week
Theory:
3
Seminar:
-
Laboratory:
1
Specializations
Foundations of Computer Science (S1):
-
Data and Knowledge Management (S2):
-
Software (S3):
-
Hardware and Architecture (S4):
-
Communications and Networking (S5):
-
Signal and Information Processing (S6):
B Βασικό
Related Courses
Detailed Description
Course Content
- Components of digital image processing systems and fundamental concepts (e.g., quantization, sampling, noise, color spaces and models, resampling, etc.).
- Basic two-dimensional transforms and image representations (e.g., 2D Fourier, DCT, etc.).
- Image enhancement (intensity transformations, anisotropic diffusion, histogram equalization, pseudocoloring, halftoning, spatial filters, frequency filters).
- Image restoration.
- Texture analysis.
- Mathematical morphology.
- Image segmentation methodologies (discontinuity detection, Hough transform, thresholding, region growing, connected-component analysis, watershed trasnform).
- Image compression.
LITERATURE AND STUDY MATERIALS - READING LIST
- Digital Image Processing, 4th Edition, R. Gonzalez and R. Woods, Ed. Tziolas, 2018 (Greek).
- Digital Image Processing, 3rd Edition W. Burger and M. J. Burge, Ed. Fountas, 2024 (Greek).
- Image Processing and Analysis, G. Tziritas and N. Komodakis, Kallipos, 2023.
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