A method for colorizing medical images

Abstract

The invention discloses a medical image colorizing method. The medical image colorizing method includes the steps: obtaining black and white digital video image data of a medical image; conducting color initialization to the black and white digital video image data; conducting region segmentation to the video image data with colors initialized and dividing a picture into independent closed regions; conducting region clustering to the divided regions according to a feature of each real target; and conducting respective colorization processing to each target region according an initial color and a result of the region clustering. The medical image colorizing method is beneficial for target segmentation and color propagation, is high in system efficiency, and has stability.

Description

technical field [0001] The invention relates to an image processing method, in particular to a medical image colorization method. Background technique [0002] Digital CR medical radiological images are favored by radiologists for their high grayscale resolution, powerful computer image post-processing functions, low radiation dose, film-free diagnosis, and remote consultation. They have become a new hot spot in medical imaging technology. However, most digital CR medical images are still pure black-and-white grayscale images. For the human eye, the world is colorful, and color plays an important role in the process of human cognition to the world. The human eye's ability to distinguish color is much higher than that of black and white grayscale. It has a great impact on the expressiveness of the screen. Compared with black and white images, color makes color images richer in content, clearer in details, and more realistic in effect. Colorization can highlight individual d...

AI Technical Summary

Problems solved by technology

However, most digital CR medical images are still pure black and white grayscale images

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