This article is about the problem of calculating the quality of medical images. Nowadays many digital medical devices present the output in the form of a digital image, and due to various factors, images can be out of focus, noisy, and have other drawbacks that interfere with normal human analysis or computer vision algorithms. Authors describe several metrics that are suitable for determining the quality of medical images: measures of blurriness, segmentation, image entropy, sharpness, noise level. With these metrics for the image of interest, we can say with some probability if the image is suitable for analysis by the human eye or computer vision algorithms.