A Hybrid Technique to Detect the Edges of Medical Images by Separating Color Channels


The importance of the medical images lies in diagnosing the disease and its degree and giving the appropriate treatment. The aim of present study is to detect the edges of colored medical images by separating their color channels into three channels, determining the edges of each channel by a Canny operator for each color channel and merging the resulting edges to get the best edge. The quality of each edge has been calculated by using statistical measurements and then compared the results of the proposed model to study the effect of the proposed model. Results gave high accuracy by enhancement in themedical image edge which is useful in image optimization for different applications.