A colour constancy algorithm based on neural network and application

Obtaining color constancy is the study focuses in the field of image vision which does not alter with light source illumination modification. In consideration of the influence of the light source fluctuations on the image color, this paper puts forward an image color constancy algorithm based on BP neural network. This algorithm was used for testing different light source and illumination intensity in the same goal color which can achieve the non-linear mapping from the color values under different illumination polychromatic constant current light source to the color values under polychromatic standard light source. The speed of calculation is fast and the error is small for this algorithm. And this algorithm is applied to the hardness online measurement based on the image color. The experiment proves the effectiveness of the color constancy algorithm which can reduce or eliminate interference of the light source, correct color, improve the measurement sensitivity and accuracy.