Quantitative color analysis for capillaroscopy image segmentation.
This communication introduces a novel approach for quantitatively evaluating the role of color space decomposition in digital nailfold capillaroscopy analysis. It is clinically recognized that any alterations of the capillary pattern, at the periungual skin region, are directly related to dermatolog...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 50; no. 6; pp. 567 - 575 |
|---|---|
| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jun2012
|
| 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=104451367&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104451367 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2012 vid: 50 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104451367 NLM22532162 2011562928 10.1007/s11517-012-0907-7 NLM22532162 104451367 ppf: 567 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Quantitative color analysis for capillaroscopy image segmentation. aug: au: Goffredo M Schmid M Conforto S Amorosi B D'Alessio T Palma C Goffredo, Michela Schmid, Maurizio Conforto, Silvia Amorosi, Beatrice D'Alessio, Tommaso Palma, Claudio affil: Department of Applied Electronics, University "Roma TRE", Rome, Italy sug: subj: Image Interpretation, Computer Assisted Methods Angioscopy Methods Nails Blood Supply Algorithms Capillaries Pathology Color Human ab: This communication introduces a novel approach for quantitatively evaluating the role of color space decomposition in digital nailfold capillaroscopy analysis. It is clinically recognized that any alterations of the capillary pattern, at the periungual skin region, are directly related to dermatologic and rheumatic diseases. The proposed algorithm for the segmentation of digital capillaroscopy images is optimized with respect to the choice of the color space and the contrast variation. Since the color space is a critical factor for segmenting low-contrast images, an exhaustive comparison between different color channels is conducted and a novel color channel combination is presented. Results from images of 15 healthy subjects are compared with annotated data, i.e. selected images approved by clinicians. By comparison, a set of figures of merit, which highlights the algorithm capability to correctly segment capillaries, their shape and their number, is extracted. Experimental tests depict that the optimized procedure for capillaries segmentation, based on a novel color channel combination, presents values of average accuracy higher than 0.8, and extracts capillaries whose shape and granularity are acceptable. The obtained results are particularly encouraging for future developments on the classification of capillary patterns with respect to dermatologic and rheumatic diseases. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|