Vision based Pus Segmentation and Area Estimation of Wound using Android Application

Anudeep Varma; Ashok Varma; Hema Madhav Jakkampudi  and Alex Noel Joseph Raj

doi:10.17485/ijst/2016/v9i3/80589

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Vision based Pus Segmentation and Area Estimation of Wound using Android Application

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i3/80589

Year: 2016, Volume: 9, Issue: 3, Pages: 1-7

Original Article

Vision based Pus Segmentation and Area Estimation of Wound using Android Application

Anudeep Varma, Ashok Varma, Hema Madhav Jakkampudi^* and Alex Noel Joseph Raj

School of Electronics Engineering, VIT University, Vellore – 632014, Tamil Nadu, India; [email protected], [email protected], [email protected], [email protected]

*Author For Correspondence
Hema Madhav Jakkampudi
School of Electronics Engineering, VIT University, Vellore – 632014, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The main intention of this paper is to eliminate the use of contact wound measurement techniques such as Ruler method, Graph method, Acetate method etc. These techniques, which are usually inaccurate and cumbersome, can cause pain and inconvenience to the patient. The paper mainly focuses on implementing and comparing various image processing and segmentation algorithms to get accurate measurements of the wounds. The second phase of our project concentrates on implementing these measurement algorithms on an android platform. The wound measurement application allows the patients to capture and assess their wounds from their home or work place. The application can be installed in almost all available smart phones.

Keywords: Android, Grab-Cut, K-Means, Non-Contact, Otsu’s Method, Wound-Measurement