PA170 Digital Geometry

Faculty of Informatics
Autumn 2006
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Contact Person: doc. RNDr. Pavel Matula, Ph.D.
Mon 17:00–17:50 B011, Tue 17:00–18:50 B204
The knowledge of mathematics fundamentals and graph theory is recommended.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course brings the basic overview of digital geometry. We will discuss problems that arise from object digitalization and their representation by the set of points on a grid (e.g, digital image). Especially, we will define the basic terms (adjacency, connectedness, boundary, etc.) and show how to measure geometric as well as topologic properties of digital sets (distance, length, volume, etc.).
  • Basics: digital image, pixel, voxel, image resolution
  • Grids: grid point and grid cell models
  • Adjacency vs. incidence, switch adjacency
  • Connectedness and components, component labeling
  • Digitalization models
  • Measurement in digital images: metrics, integer-valued metrics, regular metric, approximation to Euclidean metric, chamfer distance
  • Distance transform
  • Distance measurement between sets: Hausdorf metric and its computation
  • Digital sets: digital line, digital circle, etc.
  • Estimation and computation of geometric and topological properties of digital sets: volume, surface, area, perimeter, length, curvature, Euler characteristic, etc.
  • Adjacency graphs and incidence pseudographs
  • Boundary and border and their computation
  • KLETTE, Reinhard and Azriel ROSENFELD. Digital geometry: geometric methods for digital picture analysis. Amsterdam: Elsevier, 2004. 656 pp. info
Assessment methods (in Czech)
Přenášky v češtině. Povinná účast na cvičeních, domácí úkoly. Písemná zkouška.
Language of instruction
Follow-Up Courses
Further Comments
The course is taught annually.
Teacher's information
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2013, Autumn 2015, Autumn 2017, Autumn 2019, Autumn 2021.
  • Enrolment Statistics (Autumn 2006, recent)
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