Image Processing with Cellular Topology

Vladimir A. Kovalevsky received his diploma in physics from the Kharkov University (Ukraine) in 1950, the first doctoral degree in technical sciences from the Central Institute of Metrology (Leningrad) in 1957, and the second doctoral degree in computer science from the Institute of Cybernetics of the Academy of Sciences of the Ukraine (Kiev) in 1968. From 1961 to 1983 he served as Head of Department of Pattern Recognition at that Institute.He has been living in Germany since 1983. From 1983 to 1989 he was researcher at the Central Institute of Cybernetics of the Academy of Sciences of the GDR, Berlin. From 1989 to 2004 he was professor of computer science at the University of Applied Sciences Berlin with an interruption for three years (1998-2001). In that time, he was scientific collaborator at the University of Rostock. He worked as visiting researcher at the University of Pennsylvania (1990), as visiting professor of computer sciences at the Manukau Institute of Technology, NewZealand (2005), at the Department of Automatic Control of the “Centro de Investigación y de Estudios Avanzados del IPN” in Mexico (2006), at the University of Applied Sciences Wildau, Germany (2008) and at the Chonbuk National University, Korea (2009). He has been plenary speaker at conferences in Europe, America and New Zealand. His research interests include digital geometry, digital topology, computer vision, image processing and pattern recognition. He has published four monographs and more than 180 journal and conference papers in image analysis, digital geometry and digital topology.

Chapter 1. Introduction.- Chapter 2. Boundary Presentation Using Abstract Cell Complexes.- Chapter 3. Boundary Tracing in Binary Images Using Cell Complexes.- Chapter 4. Boundary Tracing and Encoding in Color Images.- Chapter 5. Boundary Polygonization.- Chapter 6. Edge Detection in 2D Images.- Chapter 7. Surface Traversing and Encoding in 3D Images.- Chapter 8. Edge Detection in 3D Images.- Chapter 9. Discussion.