Quantum edge detection based on SHANNON entropy for medical images
Abdelilah El Amraoui, Lhoussaine Masmoudi, Hamid Ez-Zahraouy, Youssef El Amraoui · 2016
In this paper, a new edge detection algorithm for medical images based on quantum computation concept is presented. The proposed method is performed through two stages: the first one enhances the image according to the quantum states' superposition property, which determine the adequate quantum pixels' values. The second one extracts edges based on Shannon entropy. The algorithm is tested on synthetic and real medical images, and the obtained results are compared to others' classical edge detection methods. It can be seen that the approach is promising.