Compensatory Logic applied to Digital Image Processing

BOUCHET, A.; PASTORE, J.; ESPÍN, R.; BRUN, M.; BALLARIN, V.

Towards a trans-disciplinary technology of Business and Organizational Intelligence: Gathering Knowledge Discovery, Knowledge Management and Decision.

Red EUREKA

Lugar: Oldenburg, Alemania; Año: 2011; p. 226 - 229

Classical Mathematical Morphology (MM) is becoming a standard tool for Digital Image Processing. Operators of the MM present some limitations when applied to biomedical images, due to the noisy an textured nature of these images. In this context, Fuzzy Mathematical Morphology (FMM), improves the performance by considering these properties of the images. The goal of this work is to introduce a new framework, based on compensatory logic, to build the basic operators of Mathematical Morphology, and to compare their performance for processing of noisy images.