Edge detection by mathematical morphology filtering about quantum superposition state and entropy
量子叠加态和信息熵的形态边缘提取算法

Based on principle of superposition state in quantum mechanics, this paper constructed a novel multi-structure morphology structure element and used it to detect edge of noised image. This morphology structure element, which based on superposition state, could detect integrated and continuous edge because it comprises almost all the directions of lines that extended in the image. And its size and shape were not invariant after its scale selected. Moreover, this paper applied image entropy in setting the probability of structure element. The experimental results show that this algorithm can gain desired effect comparisons with traditional structure element.