Journal
JOURNAL OF MEDICAL SYSTEMS
Volume 42, Issue 3, Pages -Publisher
SPRINGER
DOI: 10.1007/s10916-018-0904-y
Keywords
Feature detection; Phase congruency; Dimensionality reduction
Funding
- Natural Science Foundation of Guangdong Province [2015A030313382]
- Science Foundation of Guangdong Provincial Communications Department [2015-02-064]
- National Natural Science Foundation of China [61402185]
- Guangdong Provincial Public Research and Capacity Building Foundation [2016A020223012, 2015A020217011]
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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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