We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Quantum circuit design for several morphological image processing methods.
- Authors
Li, Panchi; Shi, Tong; Lu, Aiping; Wang, Bing
- Abstract
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.
- Subjects
IMAGE processing; CIRCUIT complexity; QUANTUM computing; IMAGE intensifiers
- Publication
Quantum Information Processing, 2019, Vol 18, Issue 12, pN.PAG
- ISSN
1570-0755
- Publication type
Article
- DOI
10.1007/s11128-019-2479-z