A medical image color correction method based on supervised color constancy / 生物医学工程学杂志

ABSTRACT

This paper presents a medical image acquisition and analysis method-TRM (Topology Resolve-Map) Model-under natural light condition indoors. Firstly, in accordance to medical image color characteristics, a colorful and grayscale color control patch was made for use as supervised color. "Topology Resolve-Map-Restoration" was carried on in LAB color space of the one-dimensional L* space and the two-dimensional a* b* space. Then, L* value was regulated by subsection regulation and a* b* value was regulated by triangulation topological cutting--close in on center of gravity method. After correction of the 198 color blocks in 22 pictures, the results showed that, by comparison with the standard value, the deltaL*, deltaC* and deltaE decreased significantly (P < 0.01) after correction by TRM. After correction, the difference in image's color is reduced, the color saturation is improved and the value is closer to true value. TRM model can significantly reduce the color difference of the medical image under natural light condition; it has a good effect on color correction.