Automatic segmentation of thermal images to support breast cancer diagnosis

  • Steve Rodríguez Guerrero Universidad del Valle, Cali
  • Humberto Loaiza Universidad del Valle, Cali
  • Andrés David Restrepo Girón Universidad del Valle, Cali
Keywords: Infrared thermography, image segmentation, geometric analysis, breast cancer

Abstract

A proposal for segmenting thermographic images that can be used as a pre-processing step in the asymmetric analysis of breast cancer. This proposed segmentation of detecting areas of high temperature gradients, from which geometric regions of interest [Region of Interest, ROI] are defined. Hot spots selected as a reference at the start of the identification of the ROI corresponded to those presented under each breast, then, using a contour following on both sides of the body, it was sought to define the coordinates of the vertices that shaped the region of interest. The results show an average success of 67.5% in the segmentation of the breast region from 40 thermograms, which were captured in patients with raised arms or hands on hips while capturing images at a distance of 1 m camera.

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Author Biographies

Steve Rodríguez Guerrero, Universidad del Valle, Cali

Estudiante de la Maestría en Ingeniería con énfasis en Electrónica de la Universidad del Valle e Ingeniero Electrónico de la Universidad Santiago de Cali (2008). Docente de la Fundación Universitaria Católica, vinculado a los grupos de investigación en Telemedicina e Ingeniería Biomédica [Telebio] de la Universidad Santiago de Cali, y Percepción y Sistemas Inteligentes [PSI] de la Universidad del Valle. Sus áreas de interés son: telesalud, telemedicina, procesamiento de imágenes biomédicas y visión artificial.

Humberto Loaiza, Universidad del Valle, Cali
Ingeniero electricista (1990) y Magister en Automática (1995) de la Universidad del Valle; Doctor en Robótica por la Universite D'evry Val D'essonne (Francia, 1999). Es profesor titular y Director de la Escuela de Ingeniería Eléctrica y Electrónica de la Universidad del Valle, donde además es Co-Director del grupo de investigación en Percepción y Sistemas Inteligentes [PSI]). Sus áreas de interés son: procesamiento de señales e imágenes, visión artificial, robótica, inteligencia computacional, instrumentación inteligente y reconocimiento de patrones.

Andrés David Restrepo Girón, Universidad del Valle, Cali

Ingeniero Electrónico (1999), Magíster en Automática (2005) y Doctor en Ingeniería (2014) de la Universidad del Valle (Cali-Colombia), asociado al grupo de investigación en Percepción y Sistemas Inteligentes [PSI]. Profesor de tiempo completo del Programa de Ingeniería Electrónica de la Universidad del Valle. Sus áreas de interés son la instrumentación electrónica, los sistemas digitales microcontrolados y el procesamiento de señales e imágenes.

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Published
2014-09-30
Section
Original Research