Triqubit-state Measurement-based Image Edge Detection Algorithm

Zhonghua Wang and Faliang Huang
Volume: 14, No: 6, Page: 1331 ~ 1346, Year: 2018
10.3745/JIPS.04.0095
Keywords: Edge Detection, Partial Differential Equation, Pixel Saliency, Qubit State, Quantum Measurement
Full Text:

Abstract
Aiming at the problem that the gradient-based edge detection operators are sensitive to the noise, causing the pseudo edges, a triqubit-state measurement-based edge detection algorithm is presented in this paper. Combing the image local and global structure information, the triqubit superposition states are used to represent the pixel features, so as to locate the image edge. Our algorithm consists of three steps. Firstly, the improved partial differential method is used to smooth the defect image. Secondly, the triqubit-state is characterized by three elements of the pixel saliency, edge statistical characteristics and gray scale contrast to achieve the defect image from the gray space to the quantum space mapping. Thirdly, the edge image is outputted according to the quantum measurement, local gradient maximization and neighborhood chain code searching. Compared with other methods, the simulation experiments indicate that our algorithm has less pseudo edges and higher edge detection accuracy.

Article Statistics
Multiple requests among the same broswer session are counted as one view (or download).
If you mouse over a chart, a box will show the data point's value.


Cite this article
IEEE Style
Zhonghua Wang and Faliang Huang, "Triqubit-state Measurement-based Image Edge Detection Algorithm," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1331~1346, 2018. DOI: 10.3745/JIPS.04.0095.

ACM Style
Zhonghua Wang and Faliang Huang, "Triqubit-state Measurement-based Image Edge Detection Algorithm," Journal of Information Processing Systems, 14, 6, (2018), 1331~1346. DOI: 10.3745/JIPS.04.0095.