2014
DOI: 10.1007/s11128-014-0862-3
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Quantum morphology operations based on quantum representation model

Abstract: Quantum morphology operations are proposed based on the novel enhanced quantum representation model. Two kinds of quantum morphology operations are included: quantum binary and grayscale morphology operations. Dilation and erosion operations are fundamental to morphological operations. Consequently, we focus on quantum binary and flat grayscale dilation and erosion operations and their corresponding circuits. As the basis of designing of binary morphology operations, three basic quantum logic operations AND, O… Show more

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Cited by 29 publications
(11 citation statements)
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“…In addition to the algorithms described above, there are other quantum image processing algorithms, such as morphology [58,59] , filtering [60] , denoising [61] , comparison [62,63] , searching [64] , etc. While these studies seem piecemeal, they are important to QIP.…”
Section: Other Quantum Image Processing Algorithmsmentioning
confidence: 99%
“…In addition to the algorithms described above, there are other quantum image processing algorithms, such as morphology [58,59] , filtering [60] , denoising [61] , comparison [62,63] , searching [64] , etc. While these studies seem piecemeal, they are important to QIP.…”
Section: Other Quantum Image Processing Algorithmsmentioning
confidence: 99%
“…By using the basic quantum gates and the aforementioned operations, so far, researchers have contributed to quantum image feature extraction, 20 quantum image segmentation, 21 quantum image morphology, 22 quantum image comparison, 23,24 among others. In particular, QIP-based security technologies have attracted extensive interest of researchers as presented in the ensuing discussions.…”
Section: 2mentioning
confidence: 99%
“…Therefore, a quantum version algorithm is needed to solve this problem. Morphology is a new image processing theory, and Yuan et al [39] first conducted research on quantum morphology image processing. They focused on the dilation and erosion of quantum binary images and grayscale images, but the complexity was exponential, which is very high.…”
Section: Introductionmentioning
confidence: 99%