Graph approach in image segmentation

0Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper we discuss about graph approach in image segmentation. In first place, some main image processing techniques are classified based upon the output these methods provide. Then, a fuzzy image segmentation definition is presented because in the literature review was found that it was not clearly defined. This definition of fuzzy image segmentation is then related to a hierarchical image segmentation procedure, so this concept is also formally defined in this work. As every output of an image processing algorithm has to be evaluated, then a method to evaluate a hierarchical segmentation output is proposed in order to later propose a method to evaluate a fuzzy image segmentation output. Computational experiences point to some advantages of the proposed hierarchical image segmentation procedure over other algorithms.

Cite

CITATION STYLE

APA

Guada, C., Gómez, D., Rodríguez, J. T., Yáñez, J., & Montero, J. (2018). Graph approach in image segmentation. In Advances in Intelligent Systems and Computing (Vol. 642, pp. 200–212). Springer Verlag. https://doi.org/10.1007/978-3-319-66824-6_18

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free