Authors : Saravanan Lalbagathur; Dr. Shobana Devi A.

Volume/Issue : Volume 11 - 2026, Issue 5 - May

Google Scholar : https://tinyurl.com/mrp5yv8w

Scribd : https://tinyurl.com/3rb99m54

DOI : https://doi.org/10.38124/ijisrt/26May371

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Abstract : The Main scope of the project is to measure the recovery or healing level of the chronic wounds and recommend the medications further by analyzing the key parameters of the patient details at primary level (i.e., Blood Pressure, Blood glucose level, Other Physical examinations) and categorizing the observation which helps system to recommend the medication procedure for further course of action. And the digital images were using image processing techniques like, Canny, Histogram, Sepia) which would help to distinguish the images and measure the tissues based on the digital images at pixel level. The key objective is to provide a ease of access and portable non-invasive medication for the patients & medical teams. And also helps the medical consulting officers to categorize the severity level and the required care for further course of action for the patient. Whereas the existing system only identifies wound and does not provide its recovery status and its accuracy is also very less. The application has been implemented over smart phones with a prototype model running on any smart phone. The results to evaluate the efficiency of the application have been encouraging with high accuracy level. Accompanied SQLite database stores all relevant patient information over the inbuild memory. Stored information. makes possible qualitative .and quantitative tracking. of wound recovery process, which gives the medical team to take necessary information to evaluate and adjust the treatment. The current methodology has been used where the system provides ease of access, less time in processing and ease of use that other devices have failed to achieve.

Keywords : Wound Evaluation, Chronic Wound, Image Extraction, FC Algorithm, Pixel Calculation, Histogram

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