Assessment of the Wound-Healing Process by Accurate Single View Issue Classification and Depth Estimation for Telemedicine
K. Sundeep Kumar1, Lalitha Asokan2, Priyadarshini M.P3, B. Eswara Reddy4
1Mr. K. Sundeep Kumar, Associate Professor, Department of CSE, CMRIT, Bangaluru, India.
2Mrs Lalitha Asokan, Assistant Professor, Dept. of Information Science, CMRIT, Bengaluru, India.
3Ms Priyadarshini M.P, J.R.F, VGST – DST GOK,ECE, CMRIT, Bengaluru, India.
4Dr. Eswara Reddy, Professor, Department of CSE, JNTUACE, Ananthapur, India.
Manuscript received on May 30, 2013. | Revised Manuscript received on June 15, 2013. | Manuscript published on June 30, 2013. | PP: 467-475 | Volume-2, Issue-5, June 2013. | Retrieval Number: E1872062513/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the widespread use of digital cameras, freehand wound imaging has become common practice in clinical settings. There is however still a demand for a practical tool for accurate wound healing assessment, combining dimensional measurements and tissue classification in a single user friendly system. In this research work, we propose optimal techniques for the assessment of wound healing process. The proposed system comprises cascade of four stages – Pre – Processing Stage, Segmentation, Feature Extraction and Classification. All the implementations are done in MATLAB.
Keywords: Clustering, Epidermis, Feature vectors, Intensity, Multi -Class, Tissue.