Quantum image adaptive segmentation method based on NEQR expression

The invention relates to a novel quantum image self-adaptive segmentation method expressed by a quantum image storage model NEQR, and belongs to the field of quantum computing. The method comprises the following steps: S1, preparing NEQR expressions of a to-be-segmented image and an auxiliary image;...

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Main Authors YUAN SUZHEN, WU QINYANG, GAO SHENGWEI, QIAO ZHIQIN, WEN CHAO, WANG YUCHAN, QING XIANRONG, ZHOU ZHENGQI, WANG YAN, YU JIAHONG
Format Patent
LanguageChinese
English
Published 22.01.2021
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:The invention relates to a novel quantum image self-adaptive segmentation method expressed by a quantum image storage model NEQR, and belongs to the field of quantum computing. The method comprises the following steps: S1, preparing NEQR expressions of a to-be-segmented image and an auxiliary image; S2, designing a quantum circuit of a quantum image adaptive threshold segmentation algorithm, and performing adaptive segmentation processing on the quantum image expression prepared in the step S1; and S3, measuring the quantum image expression processed in the S2 to obtain information in the image expression, and converting the information into image information. By adding the auxiliary image and multiplexing the auxiliary quantum bits, the number of the quantum bits and quantum elements in the quantum circuit can be reduced, the performance of the quantum image algorithm is greatly improved, simulation of the quantum image adaptive segmentation algorithm is more efficient, and a foundation is laid for processin
Bibliography:Application Number: CN202011172744