%0 Conference Proceedings
%4 sid.inpe.br/banon/2004/08.03.23.57
%2 sid.inpe.br/banon/2004/08.03.23.57.39
%@doi 10.1109/SIBGRA.2004.1352943
%T Detection of Lines Using Hierarchical Region Based Representation
%D 2004
%A Silva, Alexandre Gonçalves,
%A Lotufo, Roberto de Alencar Lotufo,
%@affiliation DCA - FEEC--Faculdade de Engenharia Elétrica e Computação - UNICAMP - P.O.Box 6101, 13083-970, Campinas, SP - Brazil,
%@affiliation DCC - CCT--Centro de Ciências Tecnológicas - UDESC - P.O.Box 631, 89223-100, Joinville, SC - Brazil,
%E Araújo, Arnaldo de Albuquerque,
%E Comba, João Luiz Dihl,
%E Navazo, Isabel,
%E Sousa, Antônio Augusto de,
%B Brazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
%C Curitiba, PR, Brazil
%8 17-20 Oct. 2004
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K detection of line, hierarchical representation, max-tree.
%X This paper suggests an hierarchical region based representation to implement detection of shapes in gray-scale images. The Max-Tree structure has demonstrated to be useful for this purpose, offering a semantic objects vision of the image, therefore, reducing the number of elements to process in relation to the pixel based representation. In this way, a particular thresholding information, associated with a specific shape analysis, can be used to determine the segmentation or filtering of regions of interest with lesser computational effort. For to demonstrate this technique, a generic application of detection of lines is proposed using the distance transform approach on each connected component from the depth searching in the mentioned tree.
%@language en
%3 4489_Silva_A.pdf