SciELO - Scientific Electronic Library Online

vol.10 issue3Computationally Efficient Multiplier-Free Fir Filter DesignIdentification of a Screw Fastener System with Noises in Measurements author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand




Related links

  • Have no similar articlesSimilars in SciELO


Computación y Sistemas

Print version ISSN 1405-5546


CHACON MURGUIA, Mario Ignacio; CORRAL SAENZ, Alma Delia  and  SANDOVAL RODRIGUEZ, Rafael. A Fuzzy Approach on Image Complexity Measure. Comp. y Sist. [online]. 2007, vol.10, n.3, pp.268-284. ISSN 1405-5546.

This paper describes a novel fuzzy based approach to determine the complexity of an image which is independent of a human perception criterion. The proposed method determines the complexity of an image based on the analysis of its edge level percentages. First, the method determines the complexity class of an image from among three classes, Little Complex, More or Less Complex, and Very Complex using centroids obtained from a fuzzy clustering process. Second, the membership value for that class is computed by a set of interval mapping functions. The method is very robust and consistent since it does not incorporate any a priori human evaluation of complexity. Results of the method show a correlation with human complexity values obtained in an independent evaluation test; however, the values obtained with our method are consistent and not subject to the viewer's subjectivity. The paper also shows promising results in applying the method to an application of determining the edges of images when compared with a crisp image complexity method.

Keywords : Image complexity; Fuzzy logic; Image processing.

        · abstract in Spanish     · text in English     · English ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License