The Euclidean method is sensitive to variations in intensity

but not very sensitive to variations in hue and saturation whereas the vector angle method detects only chromatic differences in color edge detection. The paper presents a distance combination scheme based on HSI (hue

saturation and intensity) so as to capture more accurate edge data in RGB color field. The approach is a metric that the chromaticity difference information in the form of the vector angle is mainly used in edge detection of high intensity and color difference regions

whereas the intensity difference information in the form of Euclidean distance is mainly used in edge detection of areas of low Intensity and color difference. Experiments show that our method effectively solves the problems of unstable angle calculation for vectors with small RGB values

insensitive to intensity differences for vector angle and not very sensitive to chromatic differences for Euclidean in RGB space. Compared to the LUV based measure which has already been used successfully in the LUV space

the method avoids the complexity of the color space transformation and enhances the edge detection over the LUV based results for Visible Man dataset.