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A Model-Based Gradient Field Descriptor as an Efficient Tool for Recognizing and Analyzing Digital Images

机译:基于模型的梯度场描述符作为识别和分析数字图像的有效工具

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摘要

A model-based gradient-field descriptor is proposed to describe digital images. The characteristics of the descriptor, which are regarded as features of a digital image, allow one to efficiently solve the problems of analysis, recognition, and searching of images. Examples of solving such problems using the proposed descriptor are presented.
机译:提出了一种基于模型的梯度场描述符来描述数字图像。描述符的特征被视为数字图像的特征,可以有效地解决图像的分析,识别和搜索问题。提出了使用建议的描述符解决此类问题的示例。

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