Quantum circuit design for several morphological image processing methods

Morphological image processing is a relatively mature image processing method in classical image processing. However, in quantum image processing, the related results are still quite scarce. In this paper, we first design the quantum circuits of the two basic operations of dilation and erosion for b...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Quantum information processing Ročník 18; číslo 12; s. 1 - 35
Hlavní autoři: Li, Panchi, Shi, Tong, Lu, Aiping, Wang, Bing
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.12.2019
Springer Nature B.V
Témata:
Algorithms
Circuit design
Data Structures and Information Theory
Design
Edge detection
Image detection
Image enhancement
Image processing
Image segmentation
Mathematical Physics
Morphology
Physics
Physics and Astronomy
Quantum Computing
Quantum Information Technology
Quantum Physics
Spintronics
Quantum morphological algorithm design
Quantum morphological dilation
Quantum morphological erosion
Quantum image processing
ISSN:1570-0755, 1573-1332
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Morphological image processing is a relatively mature image processing method in classical image processing. However, in quantum image processing, the related results are still quite scarce. In this paper, we first design the quantum circuits of the two basic operations of dilation and erosion for binary images and grayscale images. On this basis, for binary image, the quantum circuits of three morphological algorithms (noise removal, boundary extraction and skeleton extraction) are designed in detail. For grayscale image, the quantum circuits of three morphological algorithms (i.e., edge detection, image enhancement and texture segmentation) are also designed. In the design of these circuits, the parallelism of quantum computation is considered. The analysis of the circuits complexity shows that all the six morphological algorithms can speed up their classic counterparts.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1570-0755
1573-1332
DOI:10.1007/s11128-019-2479-z