Identification of Possible Infarction on the Cross Section of Cardiac Muscle Tissue Using Color Segmentation and Difference of Gaussian
Vanessa Estremos Chico, Sandra Mae W. Famador · 2016
Medical Imaging is essential for medical diagnosis and treatment so there is a need to be able to obtain quantitative data from them for analysis and these data can be obtained through Image Processing. The data from the microscopic images could possibly contain information about concerning changes and variations in the forms of organisms that describe the relationship between the human body and disease. In this study, Color Segmentation was used to detect possible infarction locations by analyzing digital microscopic images of the cross section of cardiac muscle tissues and the Derivative of Gaussian (DoG) was used to stitch the selected microscopic images together. With these algorithms we were able to detect the possible locations of infarction and obtain their quantitative data and create an application for automated analysis.