Seed robustness of oriented relative fuzzy connectedness: core computation and its applications

Anderson C. M. Tavares; Hans H. C. Bejar; Paulo A. V. Miranda

doi:10.1117/12.2254646

24 February 2017 Seed robustness of oriented relative fuzzy connectedness: core computation and its applications

Anderson C. M. Tavares, Hans H. C. Bejar, Paulo A. V. Miranda

Author Affiliations +

Proceedings Volume 10133, Medical Imaging 2017: Image Processing; 1013316 (2017) https://doi.org/10.1117/12.2254646
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

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.

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Anderson C. M. Tavares, Hans H. C. Bejar, and Paulo A. V. Miranda "Seed robustness of oriented relative fuzzy connectedness: core computation and its applications", Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 1013316 (24 February 2017); https://doi.org/10.1117/12.2254646

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