A normalized color difference edge detector based on quaternion representation

This paper presents the quaternion color difference edge detector, a new approach to detection of edges in color images. Based on a new type of convolution, the color difference subspace and the proposed edge detector are expressed analytically by using the algebra of the quaternion. The proposed color image edge detector generates edges only where sharp changes of color occur in the original image. The experimental results have verified the improved performance of the new edge detector compared to some well known methods.