Intelligent weighted blending for ultrasound image stitching

摘要

Ultrasound images are stitched together by extracting target image regions within each ultrasound image, identifying interest points for the extracted target images and then identifying interest point correspondences between the interest points of all the extracted target image regions. The interest point correspondence is used to define a common, word coordinate for all extracted target images, and the extracted target images are warped onto the world coordinates. A distance weight, w1, gradient weight w2, and histogram weight w3 is then determined for each pixel of the warped, target images. The three weights are then combined and normalized across all the warped, target images. The combined, normalized weights are used in the blending and stitching of the warped, target images.