Color quantification in angioscopic video images

J. A. Oomen; C. J. Slager; K. G. Lehmann; J. C.H. Scuurbiers; P. W. Serruys

Color quantification in angioscopic video images

J. A. Oomen, C. J. Slager, K. G. Lehmann, J. C.H. Scuurbiers, P. W. Serruys

Erasmus MC

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

4 Citations (Scopus)

Abstract

Colors in video representations of angioscopic images are up until now described by an human observer. Differences in settings of the monitor and the inherent poor ability of the human eye to classify colors objectively results in a very poor intraobserver as well as interobserver variability. A PC-based method is described to measure colors in a video image and to present the results in a novel C-diagram. Results with this method for standard calibrated colors are given. Possible sources of error are discussed and methods to minimize these errors are presented.

Original language	English
Pages (from-to)	39-46
Number of pages	8
Journal	Medical Progress through Technology
Volume	21
Issue number	1
Publication status	Published - Feb 1995
Externally published	Yes

Keywords

Angioscopy
Color quantification
Colorimetry

Cite this

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keywords = "Angioscopy, Color quantification, Colorimetry",

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language = "English",

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T1 - Color quantification in angioscopic video images

AU - Oomen, J. A.

AU - Slager, C. J.

AU - Lehmann, K. G.

AU - Scuurbiers, J. C.H.

AU - Serruys, P. W.

PY - 1995/2

Y1 - 1995/2

N2 - Colors in video representations of angioscopic images are up until now described by an human observer. Differences in settings of the monitor and the inherent poor ability of the human eye to classify colors objectively results in a very poor intraobserver as well as interobserver variability. A PC-based method is described to measure colors in a video image and to present the results in a novel C-diagram. Results with this method for standard calibrated colors are given. Possible sources of error are discussed and methods to minimize these errors are presented.

AB - Colors in video representations of angioscopic images are up until now described by an human observer. Differences in settings of the monitor and the inherent poor ability of the human eye to classify colors objectively results in a very poor intraobserver as well as interobserver variability. A PC-based method is described to measure colors in a video image and to present the results in a novel C-diagram. Results with this method for standard calibrated colors are given. Possible sources of error are discussed and methods to minimize these errors are presented.

KW - Angioscopy

KW - Color quantification

KW - Colorimetry

UR - https://www.scopus.com/pages/publications/0029239763

M3 - Article

C2 - 7791691

AN - SCOPUS:0029239763

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EP - 46

JO - Medical Progress through Technology

JF - Medical Progress through Technology

IS - 1

ER -

Color quantification in angioscopic video images

Abstract

Keywords

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