Quantum Gray-scale Image Dilation/Erosion Algorithm Based on Quantum Loading Scheme

Quantum Gray-scale Image Dilation/Erosion Algorithm Based on Quantum Loading Scheme

Gray-scale image morphological processing is extensively applied to the field of boundary detection, image segmentation and feature extraction, etc in traditional computer. Its time complexity, however, is very high. On account of the unique superiority of quantum computation, this paper proposes a novel dilation and erosion processing algorithm based on quantum loading scheme and quantum reversible adder/subtraction circuits. Compared to electronic computer, the algorithm can store images with less qubits, and the complexity is lower. Besides, the proposed meet the optimal circuit designs. Finally, the simulation experiments are done to prove the correctness of the program.