Abstract
Capillary images can be effective indicators since correlations have been established between the status of capillaries and certain diseases such as cancer and diabetes. Traditionally, capillaries observations have been conducted through visual observations by medical experts. Purpose of this study is to develop a noise reduction method to extract clearer capillary images for a quantitative evaluation method. Experiments were conducted with four subjects. The proposed method utilizing OpenCV platform produced clearer capillary images compared to the original images. The results have shown the effectiveness of the proposed noise reduction method.
