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Journal of Medical Systems
Published in: Journal of Medical Systems 3/2018

01-03-2018 | Image & Signal Processing

Energy Spectrum CT Image Detection Based Dimensionality Reduction with Phase Congruency

Authors: Qingzhen Xu, Miao Li, Min Li, Shuai Liu

Published in: Journal of Medical Systems | Issue 3/2018

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Abstract

The image feature detection is widely used in image registration, image stitching and object recognition. The feature detection algorithm can be applied to the detection of artificial images, and can be used to detect the energy spectrum CT image. A new algorithm of phase consistency detection based on dimensionality reduction is proposed in this paper. We mainly focus on the phase congruency of the spectral CT images in the paper and try to use dimensionality reduction to integrate the information of phase congruency detected in the image. The experimental results show that the algorithm can detect the energy spectrum CT image with clear edge and contour, which is beneficial to the subsequent processing. Meanwhile, the algorithm presented is more effective in diagnosis of disease for medical professionals.
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Metadata
Title
Energy Spectrum CT Image Detection Based Dimensionality Reduction with Phase Congruency
Authors
Qingzhen Xu
Miao Li
Min Li
Shuai Liu
Publication date
01-03-2018
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 3/2018
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-018-0904-y

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