A quantum mechanics-based framework for image processing and its application to image segmentation

摘要: Quantum mechanics provides the physical laws governing microscopic systems. A novel and generic framework based on quantum for image processing is proposed in this paper. The basic idea to map each element a system. This enables utilization of powerful theory solving problems. initial states elements are evolved final states, controlled by an external force derived from features. can be designed correspond class providing solutions segmentation, object recognition, classification In work, formulation single-object segmentation problem developed. algorithm consists four major steps. first step designing estimating operator that controls evolution process associated with pixels initialized second step. third step, system evolved. Finally, measurement performed determine output. presented tested noiseless noisy synthetic images as well natural images. average obtained results 98.5 % sensitivity 99.7 specificity. comparison other algorithms showing superior performance method. application introduced quantum-based demonstrates high efficiency handling different types Moreover, it extended multi-object utilized applications fields signal processing.