LOCAL IMAGE STRUCTURE ANALYSIS USING CONIC SECTIONS*

Author(s):  
Christian Perwass
Author(s):  
Lech Szumilas ◽  
Horst Wildenauer ◽  
Allan Hanbury ◽  
René Donner

1990 ◽  
Vol 8 (4) ◽  
pp. 289-296 ◽  
Author(s):  
Kjell Brunnström ◽  
Jan-Olof Eklundh ◽  
Tony Lindeberg
Keyword(s):  

2014 ◽  
pp. 86-94
Author(s):  
Roman Roman ◽  
Ruslan Tushnytskyy

An approach for decomposition of visual images by clustering and breaking them down into geometric figures is considered. Multilevel hierarchical clustering algorithm to form three emphasized levels of clusters such as rectangles, closed regions and integrated areas is proposed. Advantages of such decomposition in three stages are as follows: images covered by rectangles are planned to be formatted and compressed, image fragments could be taken for the preliminary pattern recognition or could easily be corrected, hierarchically constructed fragments are good material to form pattern features for searching procedures. The algorithm complexity, the proposed approach of scanning searching area to reduce it, the rolling up criteria and key parameters for its control are investigated. The results of pattern analysis by structure features for some practical problems are presented in the article.


2005 ◽  
Vol 64 (2-3) ◽  
pp. 143-155 ◽  
Author(s):  
Joost Van De Weijer ◽  
Rein Van Den Boomgaard

Author(s):  
A. I. Alexanin ◽  
M. G. Alexanina ◽  
P. V. Babyak ◽  
S. E. Diyakov ◽  
G. V. Tarasov

Author(s):  
Kjell Brunnström ◽  
Jan-Olof Eklundh ◽  
Tony Lindeberg
Keyword(s):  

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