Model-based gradient field descriptor as a convenient tool for image recognition and analysis

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In the paper we propose a new descriptor which is used to describe a digital image, specifically, a model-oriented descriptor of gradient field. Derived characteristics of the descriptor, that are considered as features of a digital image, allow to solve effectively the problems of image analysis, recognition and retrieval. The examples of such tasks solutions with the proposed descriptor are given.

digital images \ descriptors \ features \ analysis \ recognition \ image retrieval

Short address: https://sciup.org/14059126

IDS: 14059126