Scene image classification method based on interval Type-2 fuzzy support vector machine

A technology of fuzzy support vectors and scene images, applied to computer parts, character and pattern recognition, instruments, etc., can solve problems such as difficulty in obtaining classification results, few discussions, ineffective representation and processing, etc.

Inactive Publication Date: 2016-03-02
DONGGUAN POLYTECHNIC
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  • Abstract
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Problems solved by technology

[0005] However, the standard support vector machine model cannot effectively represent and process the uncertain information (such as noise changes, shooting angle changes, lighting conditions, etc.) that are ubiquitous in scene images, so it is difficult to obtain accurate classification results
Considering system uncertain

Method used

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  • Scene image classification method based on interval Type-2 fuzzy support vector machine
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  • Scene image classification method based on interval Type-2 fuzzy support vector machine

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Embodiment Construction

[0063] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0064] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0065] The frame diagra...

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Abstract

The invention discloses a scene image classification method based on an interval Type-2 fuzzy support vector machine, and relates to the technical field of general image data processing or producing methods. According to the method, a novel fuzzy support vector machine design method based on an interval Type-2 fuzzy set is put forward, and a scene image is effectively classified based on three steps, namely, image classification feature extraction, feature dimension reduction and feature classification. According to the invention, uncertain information is described and processed based on an interval Type-2 fuzzy set, an interval Type-2 fuzzy support vector machine classification model is built, and the accuracy and robustness of scene image classification are improved.

Description

technical field [0001] The present invention relates to the technical field of general image data processing or generation methods, in particular to a scene image classification method based on an interval Type-2 fuzzy support vector machine. Background technique [0002] With the development of digital technology and the application of digital equipment, the number of images in various image databases has shown explosive growth. It is urgent to extract image semantic information that people can understand through computers, so as to facilitate users to automatically manage various digital images. , organization and analysis. How to effectively manage and quickly retrieve these images is a huge challenge. The classification of scene images is the key technology to solve this problem. Scene image classification, that is, to complete the automatic recognition of image scene categories (such as offices, corridors, streets, cities, high-rise buildings, etc.) based on the featu...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 徐淑琼卞建勇袁从贵
Owner DONGGUAN POLYTECHNIC
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