Code: 17AMBZAO Image Processing and Analysis
Lecturer: prof. Ing. Václav Hlaváè CSc. Weekly load: 1+1 Assessment: KZ
Department: 17112 Credits: 2 Semester: W
Description:
Digital image processing × image analysis × computer vision. Interpretation, its significance for images. Objects in images. Distance transform (DT). Brightness histogram. Image acquisition from the geometric and radiometric point of view. Fourier transform . Sampling theorem. Filtering in frequency domain. PCA. Brightness scale transformation, geometric transformations, interpolation. Image registration. Image processing in spatial domain. Convolution, correlation. Noise filtering. Edge detection. Linear and nonlinear methods. Mathematical morphology. Image compression. Color images. Texture. Segmentation of objects in images. Objects description in images and their recognition.
Contents:
1.Digital image processing × image analysis × computer vision. Interpretation, its significance for images. Objects in images.
2.Distance transform (DT). Brightness histogram. Image acquisition from the geometric and radiometric point of view.
3.Fourier transform. Sampling theorem.
4.Filtering in frequency domain.
5.PCA.
6.Brightness scale transformation.
7.Geometric transformations, interpolation.
8.Image registration.
9.Image processing in spatial domain. Convolution, correlation.
10.Noise filtering. Edge detection. Linear and nonlinear methods.
11.Mathematical morphology.
12.Image compression. Color images. Texture.
13.Segmentation of objects in images.
14.Objects description in images and their recognition.
Recommended literature:
[1] ©onka M., Hlaváè V., Boyle R.: Image, processing, analysis and machine vision, Cengage Learning;, Canada, 4th edition, 2014, 912 pages, ISBN-13: 978-1133593607.
Keywords:
digital image processing, computer vision, image analysis