%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/07.14.18.00
%2 sid.inpe.br/sibgrapi/2016/07.14.18.00.02
%@doi 10.1109/SIBGRAPI.2016.051
%T Multi-scale Morphological Image Simplification Based on Extrema Relationships: Improvements and Applications
%D 2016
%A Pilco, Darwin Danilo Saire,
%A Leite, Neucimar Jerônimo,
%@affiliation University of Campinas
%@affiliation University of Campinas
%E Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I IEEE Computer Society´s Conference Publishing Services
%J Los Alamitos
%S Proceedings
%K image simplification, scale-space, mathematical morphology, regional extrema.
%X Image simplification has been proved useful in several image processing applications as an additional step for more complex tasks, such as segmentation and feature extraction. In this work, we explore a graph-based simplification method that guarantees a well-behaved suppression of the image extrema (maxima/minima) by taking into account both information of distance and contrast, as well as some interesting aspects of the scale-space theory. By highlighting some new properties of the method, we define a local update of the graph which implies in an interesting bypass in the whole algorithm structure which, originally, is very time-consuming. Finally, we illustrate how to combine this simplification process with well-known morphological tools to approach problems related mainly with multi-scale image segmentation and homogenization.
%@language en
%3 PID4344531.pdf