An Image Classification Method

Abstract

The invention provides an image classification method, and in particular relates to an application method of concept cognition in the field of image classification. The present invention divides the image classification method based on the conceptual cognitive process into two modules: the cognitive training module, which is used to learn image concepts, and finally generates a concept tree to realize the image classification task; the image classification module, which uses the training module to obtain The concept tree of the image is classified; the method is described from the image feature description FD to the image form background K, and the necessary attribute set Base is generated from the image set form background K, and the coarse level of the concept tree CT is constructed by the necessary attributes. Background K Construct the finer levels of the concept tree CT, update the concept tree CT, obtain the optimal concept tree, use the optimal concept tree for classification, and solve formal concept cognition through image feature extraction technology, feature data processing technology and concept learning methods Difficult to apply to image problems.

Description

technical field [0001] The invention belongs to the technical fields of pattern recognition and machine learning, and particularly relates to an image classification method. Background technique [0002] Since formal concept analysis was proposed, it has become an efficient research tool in the field of data analysis by virtue of its unique relational representation. Formal concept analysis has been successfully applied in recommendation systems, data mining and other related research fields. Conceptual cognition is a research direction that has emerged in recent years. It has interdisciplinary characteristics and involves many research fields such as psychology, brain information science, and computer science. Existing research has proved that conceptual cognitive learning is an efficient information processing. method, but most of the existing research stays at the level of theoretical demonstration. At present, the application of formal concept analysis in the image fiel...

AI Technical Summary

Problems solved by technology

Conceptual cognition is a research direction that has emerged in recent years. It has interdisciplinary characteristics and involves many research fields such as psychology, brain information science, and computer science. Existing research proves that conceptual cognition learning is an efficient information processing method. methods, but most of the existing research stays at the level of theoretical demonstration

At present, the application of formal concept analysis in the image field is seldom, the main reason is that the inherent time complexity of the concept lattice cannot effectively deal with the multi-dimensional information in the image.

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