Software Based Higher Order Structural Foot Abnormality Detection Using Image Processing

TL;DR

This paper presents a biomedical image processing method to detect foot abnormalities like Flatfoot and High Arch using the Modified Brucken Index, aiding early diagnosis of congenital foot disorders.

Contribution

It introduces a novel application of the Modified Brucken Index for automated detection of foot abnormalities through image analysis.

Findings

Effective detection of Flatfoot and High Arch abnormalities.

Utilization of the Modified Brucken Index for classification.

Potential for early diagnosis of foot disorders.

Abstract

The entire movement of human body undergoes through a periodic process named Gait Cycle. The structure of human foot is the key element to complete the cycle successfully. Abnormality of this foot structure is an alarming form of congenital disorder which results a classification based on the geometry of the human foot print image. Image processing is one of the most efficient way to determine a number of footprint parameter to detect the severeness of disorder. This paper aims to detect the Flatfoot and High Arch foot abnormalities using one of the footprint parameters named Modified Brucken Index by biomedical image processing.