Energy Spectrum CT Image Detection Based Dimensionality Reduction with Phase Congruency.
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...
| Publicado en: | Journal of Medical Systems Vol. 42; no. 3 |
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| Autores principales: | , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Mar2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128310800&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128310800 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Mar2018 vid: 42 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128310800 128310800 128310800 10.1007/s10916-018-0904-y 128310800 ppf: 0 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Energy Spectrum CT Image Detection Based Dimensionality Reduction with Phase Congruency. aug: au: Xu, Qingzhen Li, Miao Li, Min Liu, Shuai affil: School of Computer, South China Normal University, 510631, Guangzhou, China sug: subj: Image Interpretation, Computer Assisted Tomography, X-Ray Computed Spectrum Analysis Dimensionality Reduction Human Algorithms Experimental Studies Factor Analysis Funding Source ab: 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. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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