How To Control Color Appearance With Instrumentation

Margaret E. Burns

doi:10.1117/12.958575

28 May 1980 How To Control Color Appearance With Instrumentation

Margaret E. Burns

Proceedings Volume 0220, Optics in Metrology and Quality Assurance; (1980) https://doi.org/10.1117/12.958575
Event: 1980 Los Angeles Technical Symposium, 1980, Los Angeles, United States

Abstract

Colorimetry, as defined by the International Commission on Illumination, is the measurement of colors, made possible by the properties of the eye and based on a set of conventions. Instrumentation for measuring object color, therefore, must be based on a human observer. The intent is to design an instrument that in effect responds as a person would, so that research development, production control and quality control areas have some means of assessing the acceptability of the appearance of a product. Investigations of a human observer's psychological response to color, and the manner in which visual observations are made, give the instrument designer and manufacturer data necessary to answer two questions: a. How can we put numbers (instrument read-out) on a perception that occurs in the brain of the observer? b. What can we learn from examination of a visual observing situation that will guide us in our design of an instrumental simulation of this situation? Involving as it does our own daily, almost unconscious, practice of making judgments concerning the things we see, the design and manufacture of color measurement instruments is an exceedingly interesting field. The advances being made concurrently today in research concerning human color vision and in optical and electronic technology will make possible increasingly useful instrumentation for quality control of product color.

Citation Download Citation

Margaret E. Burns "How To Control Color Appearance With Instrumentation", Proc. SPIE 0220, Optics in Metrology and Quality Assurance, (28 May 1980); https://doi.org/10.1117/12.958575

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KEYWORDS

Eye

Sensors

Colorimetry

Signal processing

Visualization

Spectrophotometry

Brain

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