DOI Number:10.1007/s11128-022-03624-4
Journal:Quantum Information Processing
Key Words:Quantum image processing Image segmentation Two-threshold Quantum comparator representation compression
Abstract:The quantum image segmentation algorithm is to divide a quantum image into several parts, but most of the existing algorithms use more quantum resource(qubit) or cannot process the complex image. In this paper, an improved two-threshold quantum segmentation algorithm for NEQR image is proposed, which can segment the complex gray-scale image into a clear ternary image by using fewer qubits and can be scaled to use n thresholds for n + 1 segmentations. In addition, a feasible quantum comparator is designed to distinguish the gray-scale values with two thresholds, and then a scalable quantum circuit is designed to segment the NEQR image. For a 2(n)x2(n) image with q gray-scale levels, the quantum cost of our algorithm can be reduced to 60q-6, which is lower than other existing quantum algorithms and does not increase with the image's size increases. The experiment on IBM Q demonstrates that our algorithm can effectively segment the image.
Indexed by:Journal paper
Document Code:(2022) 21:302
Volume:21
Issue:8
Translation or Not:no
Date of Publication:2022-08-20
Included Journals:SCI
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Education Level : With Certificate of Graduation for Doctorate Study
Degree : Doctoral Degree in Engineering
Status : 在岗
School/Department : 软件学院
Discipline:Other Specialties in Software Engineering
Computer Science and Technology
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