Color Perception Algorithm of Medical Images Using Multi-features Fusion

Due to the facts that the existing medical images are mainly represented in the form of gray scale images, with the monotonous feature, and cannot express the image information adequately, a color perception algorithm of medical images based on multi-features fusion was proposed. First, by extracting the gradient features of the gray images in multiple directions and fusing original brightness feature, more information about the images was retained. Next, a hierarchical structure was constructed to reduce the computation cost by selecting repre-sentative pixels in similar region. Then, the low-dimensional coordinates for all pixels on the top layer were cal-culated by using manifold-based technique and the interpolation computation was conducted from top to bottom. Finally, low-dimensional coordinates were projected into the color space to gain the corresponding color medical images. The experimental results on normal MRI images, normal CT images and MRI images with disease, demonstrated that the obtained color medical images have rich information by our algorithm. Moreover, compared with the traditional color transfer algorithm, the color medical images by using our algorithm has higher clarity and better target background contrast indicators. © 2018, Beijing China Science Journal Publishing Co. Ltd. All right reserved.