Quantum image edge detection based on multi-directions gray-scale morphology

DOI10.1007/s10773-021-04966-yzbMath1483.81043OpenAlexW3206118699MaRDI QIDQ2063931

Wan-Xiu Li, Ri-Gui Zhou, Han Yu

Publication date: 3 January 2022

Published in: International Journal of Theoretical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10773-021-04966-y

zbMATH Keywords

NEQRmorphology operationsmulti-directional structuresquantum image edge

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Quantum computation (81P68) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Quantum algorithms and complexity in the theory of computing (68Q12)

Uses Software

• QSobel

Cites Work

• Unnamed Item
• A flexible representation of quantum images for polynomial preparation, image compression, and processing operations
• Quantum image morphology processing based on quantum set operation
• NEQR: a novel enhanced quantum representation of digital images
• Quantization of games: towards quantum artificial intelligence
• QSobel: a novel quantum image edge extraction algorithm
• Quantum algorithmic methods for computational geometry
• Improved quantum dilation and erosion operations
• Introduction to mathematical morphology
• Ranks for Pairs of Spatial Fields via Metric Based on Grayscale Morphological Distances

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