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01.03.2018 | Image & Signal Processing | Ausgabe 3/2018

Journal of Medical Systems 3/2018

Energy Spectrum CT Image Detection Based Dimensionality Reduction with Phase Congruency

Zeitschrift:
Journal of Medical Systems > Ausgabe 3/2018
Autoren:
Qingzhen Xu, Miao Li, Min Li, Shuai Liu
Wichtige Hinweise
This article is part of the Topical Collection on Image & Signal Processing

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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