Design and implementation ACO based edge detection on the fusion of hue and PCA

Abstract

The edge detection has become very popular due to its use in various vision applications. Edge detections produces a black and white image where objects are distinguished by lines (either objects boundary comes in black color or white color) depends upon where sharp changes exist. Many techniques have been proposed so far for improving the accuracy of the edge detection techniques. The Fusion of PCA and HUE based edge detector has shown quite better results over the available techniques. But still fusion technique forms unwanted edges so this paper has proposed a new Color and ACO based edge detection technique. The MATLAB tool is used to design and implement the proposed edge detection. Various kinds of images has been considered to evaluate the effectiveness of the proposed technique. Pratt figure of merit and F-measure parameters has been used to evaluate the effectiveness of the available edge detectors.