Title :
Artificial Ant Colony: Features and applications on medical image segmentation
Author_Institution :
Lab. of Ultrasound, Nat. Inst. of Metrol., Stand. & Ind. Quality (Inmetro), Rio de Janeiro, Brazil
fDate :
March 28 2011-April 1 2011
Abstract :
Ant Colony Systems (ACS) have been applied to solve complex problems. The first Ant System was proposed in the earlier nineties, and since then several studies were performed to apply this paradigm in real problems. Several researchers have explored the idea of applying ACS to image processing. Herein, the original ACS models applied to image processing are presented. Moreover, two new models, based on the previous ones, are proposed and applied in two different types of medical images: mammogram and microtomography.
Keywords :
edge detection; image segmentation; mammography; medical image processing; optimisation; tomography; ACS model; artificial ant colony system; edge detection; image processing; mammogram; medical image segmentation; microtomography; Adaptation model; Conferences; IEEE catalog; Image edge detection; Image segmentation; Lattices; Pixel; Artificial Ant Colony; Edge Detection; Image Processing; Segmentation;
Conference_Titel :
Health Care Exchanges (PAHCE), 2011 Pan American
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-1-61284-915-7
DOI :
10.1109/PAHCE.2011.5871857
