The Design and Evaluation of Color Scales for Image Data

The representation of a parameter in a two-dimensional image using color is discussed. Desirable properties of color scales are stated. The notion of an optimal color scale is introduced and the development of a particular optimal color scale is described; restrictions on the order of colors in an optimal color scale are stated and an algorithm is presented to search for scales that obey those constraints. The linearization of color scales is discussed. The result of such two-step process is presented in the form of the Linearized Optimal Color Scale (LOCS). Observer performance experiments were conducted to study the merits of color scales for medical image data. The results of the study show that although observers performed somewhat better with the newly developed LOCS than with the previously advocated heated-object color scale, they performed signiicantly better with a linearized gray scale than with either of the color scales. Possible resons for this result are discussed.

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