Published Paper Details:

Identification and treatment of chronic wounds (CWs) are considered economic and social challenges, especially with respect to bedridden and elderly persons. CWs do not follow a predictive course of healing within a particular period. Their treatment and management costs are very high. Also,CWs decrease quality of life for patients, which cause severe pain and discomfort. The process of chronic wound healing is very complex and time consuming. Quantification of wound size plays a vital role for clinical wound treatment as the physical dimension of a wound is an important clue for wound assessment. The current techniques for wound area measurement are the ruler method and tracing which is mainly based on visual inspection, thus are not very accurate as well as time- consuming.. A computerized wound measurement system can provide a more accurate measurement, reduce bias and errors due to fatigue and can potentially reduce clinical workload .Here a efficient method for wound area segmentation based on ANN with color and texture Feature . The framework was trained and tested using 358 RGB images from Medetec wound database .Here we also proposed a simple but efficient method for wound area segmentation The satisfactory results obtained by this system make it a promising tool to assist in the field of clinical wound evaluation and suggest treatment .