Abstract
To solve the real-time problem of edge extraction algorithm and improve image edge continuity, an edge extraction algorithm based on quantum flexible representation (flexible representation of Quantum, RFQ) is proposed. First, the image is represented by quantum flexibility, the superposition state of the quantum sequence is used to store all the pixels of the image, and the FRQ image is obtained by the quantum parallel computation which efficiency is greatly improved, secondly, by the translation transformation of the X and Y directions of the FRQ image, the relative quanta of the neighboring pixels of the whole image is obtained. According to the quantum bit to define the quantum black boxUΩ, combining the Sobel operator to compute the Sobel gradient of pixels in order to judge different categories of pixels and extract the edges of the image. The experimental results show that the proposed method has better edge continuity and richer detail edge than the current edge extraction algorithm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
