Seed Robustness of Oriented Relative Fuzzy Connectedness: Core Computation and its Applications

Autor(es)

Tavares, Anderson C. M. ; Bejar, Hans H. C. ; Miranda, Paulo A. V. ; Styner, MA ; Angelini, ED

• Tipo de documento: Artigo Científico
• Fonte: MEDICAL IMAGING 2017: IMAGE PROCESSING; v. 10133, p. 10-pg., 2017-01-01.

Resumo

In this work, we present a formal definition and an efficient algorithm to compute the cores of Oriented Relative Fuzzy Connectedness (ORFC), a recent seed-based segmentation technique. The core is a region where the seed can be moved without altering the segmentation, an important aspect for robust techniques and reduction of user effort. We show how ORFC cores can be used to build a powerful hybrid image segmentation approach. We also provide some new theoretical relations between ORFC and Oriented Image Foresting Transform (OIFT), as well as their cores. Experimental results among several methods show that the hybrid approach conserves high accuracy, avoids the shrinking problem and provides robustness to seed placement inside the desired object due to the cores properties. (AU)

• Processo FAPESP: 11/50761-2 - Modelos e métodos de e-Science para ciências da vida e agrárias
• Beneficiário: Roberto Marcondes Cesar Junior
• Modalidade de apoio: Auxílio à Pesquisa - Temático