FIELD: physics.
SUBSTANCE: invention relates to computer vision and computer graphics using neural networks, machine learning for interactive segmentation of objects on images, and in particular to a method of interactive segmentation of an object on an image and an electronic computing device for realizing said method. Technical result is achieved due to fact that scheme is implemented for specification of features by back passes (f-BRS), which solves problem of optimization with respect to auxiliary variables instead of network inputs and requires execution of forward and reverse passage only for small part of network (that is several last layers). For optimization, a set of auxiliary parameters is introduced which are invariant to the position on the image. Optimization with respect to these parameters results in a similar effect as in the original BRS without the need to compute reverse passage through the entire network.
EFFECT: technical result consists in segmentation of one or more objects on image selected by user in interactive mode.
6 cl, 9 dwg, 4 tbl
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Authors
Dates
2021-02-09—Published
2020-06-18—Filed