Laryngeal Tumor Detection Using Watershed Segmentation

Abstract

The narrow-band imaging has been increasing the interest of medical specialists in the study of laryngeal micro vascular network to establish diagnosis without biopsy and pathological examination. A possible solution to this challenging problem is presented in this paper, which proposes an automatic method based on anisotropic filtering and matched filter to extract the lesion area and segment blood vessels. Lesion classification is then performed based on a statistical analysis of the blood vessels characteristics, such as thickness, tortuosity and density. The future work is based on the tumor segmentation based in watershed segmentation technique. Using this technique, can easily identify the tumor region and the tumor region exactly detected which reduces the complexity and provides the effective results than the other state of art methods