PRODUCING A SEGMENTED IMAGE USING MARKOV RANDOM FIELD OPTIMIZATION
摘要:
A computer-implemented method of producing a segmented image of a scene comprises providing a plurality of images of the scene, each image corresponding to a respective acquisition of a physical signal, the plurality of images including at least two images corresponding to different physical signals, and generating the segmented image based on the plurality of images, by determining a distribution of labels that minimizes an energy defined on a Markov Random Field (MRF).
This improves the field of computer vision.
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