6 research outputs found
An efficient quantum-classical hybrid algorithm for distorted alphanumeric character identification
An algorithm for image processing is proposed. The proposed algorithm, which
can be viewed as a quantum-classical hybrid algorithm, can transform a
low-resolution bitonal image of a character from the set of alphanumeric
characters (A-Z, 0-9) into a high-resolution image. The quantum part of the
proposed algorithm fruitfully utilizes a variant of Grover's search algorithm,
known as the fixed point search algorithm. Further, the quantum part of the
algorithm is simulated using CQASM and the advantage of the algorithm is
established through the complexity analysis. Additional analysis has also
revealed that this scheme for optical character recognition (OCR) leads to high
confidence value and generally works in a more efficient manner compared to the
existing classical, quantum, and hybrid algorithms for a similar task.Comment: A quantum-assisted algorithm for optical character recognition (OCR)
is proposed using fixed point Grover's algorith
Edge detection of remote sensing image based on GrĂĽnwald-Letnikov fractional difference and Otsu threshold
With the development of remote sensing technology, the resolution of remote sensing images is improving, and the presentation of geomorphic information is becoming more and more abundant, the difficulty of identifying and extracting edge information is also increasing. This paper demonstrates an algorithm to detect the edges of remote sensing images based on Grünwald–Letnikov fractional difference and Otsu threshold. First, a convolution difference mask with two parameters in four directions is constructed by using the definition of the Grünwald–Letnikov fractional derivative. Then, the mask is convolved with the gray image of the remote sensing image, and the edge detection image is obtained by binarization with Otsu threshold. Finally, the influence of two parameters and threshold values on detection results is discussed. Compared with the results of other detectors on the NWPU VHR-10 dataset, it is found that the algorithm not only has good visual effect but also shows good performance in quantitative evaluation indicators (binary graph similarity and edge pixel ratio)