Color quantum image edge extraction based on morphology

Abstract To further enhance the study of quantum image edge extraction algorithms, this paper proposes a color quantum image edge extraction algorithm based on an order of color vectors. The algorithm utilizes the NCQI (novel quantum representation of color digital images) model, which allows for fine processing of the color information in the image simultaneously. Our scheme extracts the edges of the color quantum image through operations such as cyclic shifts, color vectors ordering, dilation and erosion, and presents a complete quantum circuit. Finally, the complexity of the complete quantum circuit is calculated based on the quantum modules used, and simulation experimental results on classical computers are provided. Compared to all classical digital image edge extraction algorithms, our scheme can achieve exponential acceleration.