A scale-space approach to preattentive texture discrimination

Alfredo Petrosino, Michele Ceccarelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In this paper we consider the problem of unsupervised boundary localization in textured images, reporting a texture separation algorithm which extracts textural density gradients by a nonlinear multiple scale-space analysis of the image. Mathematical morphology is adopted at two stages of the algorithm: firstly the scale-space analysis is modeled by a differential morphological filter, and secondly, texture boundaries are extracted by segmenting the images resulting from a multiscale morphological gradient operation applied to detail images. The segmentation stage consists of a parallel hierarchical clustering algorithm, aimed at the minimization of a global cost functional taking into account region homogeneity and segmentation quality. Experiments on Brodatz textures and real images are reported.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Analysis and Processing, ICIAP 1999
Pages162-167
Number of pages6
DOIs
Publication statusPublished - 1 Dec 1999
Externally publishedYes
Event10th International Conference on Image Analysis and Processing, ICIAP 1999 - Venice, Italy
Duration: 27 Sep 199929 Sep 1999

Publication series

NameProceedings - International Conference on Image Analysis and Processing, ICIAP 1999

Other

Other10th International Conference on Image Analysis and Processing, ICIAP 1999
CountryItaly
CityVenice
Period27/9/9929/9/99

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Petrosino, A., & Ceccarelli, M. (1999). A scale-space approach to preattentive texture discrimination. In Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999 (pp. 162-167). [797588] (Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999). https://doi.org/10.1109/ICIAP.1999.797588