Optimization of hierarchical correlation algorithms for analyzing images

A. V. Gorohovatsky; V. V. Shlyakhov

doi:10.3103/S073527271988010054

Authors

A. V. Gorohovatsky Kharkiv National University of Radioelectronics, Ukraine https://orcid.org/0000-0003-3477-2132
V. V. Shlyakhov

DOI:

https://doi.org/10.3103/S073527271988010054

Abstract

The problem of optimizing hierarchical correlation algorithms for the automatic detection of objects in images is considered in detail. The advantages of hierarchical algorithms when interference which partially screens the objects and fluctuation noise are present are discussed and proved.

References

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