Medical Image Segmentation using Color Mathematical Morphology

PASTORE J. I.; BOUCHET, A.; ORDOÑEZ, C; BALLARIN V.

Quito

Congreso; I Congreso Internacional de Ingeniería Biomédica y Modelización Matemática en Biociencias; 2014

YACHAY

The ability to detect objects with certain color features in biomedical images is fundamental to many automated diagnostic applications. The color image segmentation, allows the decomposition of an image into objects or regions of interest, according to each specific color characteristic. While there are numerous methods for gray-level image segmentation, new techniques are achieved for color image segmentation that still are not definitive solutions or general algorithms, so the color image segmentation is a field of ongoing research. In this paper, we propose the Mathematical Morphology in color spaces as a tool for feature extraction and segmentation of biomedical images. The color processing allows using color information, achieving less errors and a more efficient automatic segmentation.