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This paper presents an improved edge detection algorithm for facial andremotely sensed images using vector order statistics. The developed algorithmprocesses colored images directly without been converted to gray scale. Anumber of the existing algorithms converts the colored images into gray scalebefore detection of edges. But this process leads to inaccurate precision ofrecognized edges, thus producing false and broken edges in the output edge map.Facial and remotely sensed images consist of curved edge lines which have to bedetected continuously to prevent broken edges. In order to deal with this, acollection of pixel approach is introduced with a view to minimizing the falseand broken edges that exists in the generated output edge map of facial andremotely sensed images.

An approach to improving edge detection for facial and remotely sensed images using vector order statistics