Interface for Contour Extraction and Determination of Morphologic Parameters in Digital Images of Footprints Based on Hernandez-Corvo Protocol

Abstract

This work presents the development of an interface to obtain the morphological parameters for the classification of the type of footprint of a person using the Hernandez-Corvo protocol. A digital photograph of the footprint is acquired with Matlab an algorithm which is applied to detect the contour of the footprint. Hernandez-Corvo protocol is applied through the interface to determine the morphological parameters, the distances of internal prominences of the forefoot and hindfoot are measured. The distance of the longest phalange and the extension of the metatarsal is obtained and the type of footprint is classified as flat, high and normal in different degrees. The ease of measurement of morphological parameters for the analysis of the pathology of the patient’s foot is beyond a general study. The interface was tested, applying the protocol to the footprint of a child of 7 years-old which resulted in a percentage of 32.65 corresponds to a flat foot. The work time in the interface was approximately 4 min including to display the parameters of interest.