COLOR QUANTIFICATION IN ANGIOSCOPIC VIDEO IMAGES

Colors in video representations of angioscopic images are up until now described by an human observer. Differences in settings of the monito r and the inherent poor ability of the human eye to classify colors ob jectively results in a very poor intraobserver as well as interobserve r variability. A PC-based method is described to measure colors in a v ideo image and to present the results in a novel C-diagram. Results wi th this method for standard calibrated colors are given. Possible sour ces of error are discussed and methods to minimize these errors are pr esented.