Application of Multi-color Space Feature Fusion in Color Difference Processing

In printing, textile, paint, ink, and some other industries, it is often needed to determine the color change of the dye. Detecting these subtle changes has been the industry´s difficulties. This paper presents a multi-color space feature fusion method in tiny color difference processing. This approach uses different color of weighted, evaluating to the feature performance of similar color in different color spaces, from which extracting a number of optimal features, and then wavelet analysis algorithm is used in multiple features fusion, different color images can be got. The results show that the fused image has higher contrast ratio than original image and monochromatic spatial images, the characteristics of similar color vision has grown enormously, and proposed a new color difference formula. This method provided a new way for tiny color difference processing.