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Semantic mapping method of local invariant feature of image and semantic mapping system

A local invariant feature and semantic mapping technology, applied in the field of image processing, can solve problems such as one meaning with multiple words and one word with multiple meanings

Active Publication Date: 2014-01-22
湖南植保无人机技术有限公司
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Problems solved by technology

[0011] The technical problem to be solved by the present invention is to provide a semantic mapping method and a semantic mapping system for local invariant features of an image, aiming to solve the problems of polysemy and polysemy in the mapping between local invariant features and image semantics question

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  • Semantic mapping method of local invariant feature of image and semantic mapping system
  • Semantic mapping method of local invariant feature of image and semantic mapping system

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[0076] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0077] The semantic mapping method and semantic mapping system of image local invariant features described in the present invention, under the framework of fuzzy set theory, solve the problem of one word with multiple meanings and one meaning with multiple words in the mapping between local invariant features and image semantics , the technical problems to be solved mainly include: the generation method of fuzzy visual dictionary; the image semantic mapping and image description method based on the membership degree of local invariant features.

[0078] Such as figure 1 , figure 2 As shown, a se...

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Abstract

The invention is applicable to the technical field of image processing and provides a semantic mapping method of the local invariant feature of an image. The semantic mapping method comprises the following steps of step A: extracting and describing the local invariant feature of the colorful image; step B: after extracting the local invariant feature, generating a visual dictionary for the local invariant feature extracted from the colorful image on the basis of an algorithm for supervising fuzzy spectral clustering, wherein the visual dictionary comprises the attached relation of visual features and visual words; step C: carrying out semantic mapping and image description on the attached image with the local invariant feature extracted in the step A according to the visual dictionary generated in the step B. The semantic mapping method provided by the invention has the advantages that the problem of semantic gaps can be eliminated, the accuracy of image classification, image search and target recognition is improved and the development of the theory and the method of machine vision can be promoted.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a semantic mapping method and a semantic mapping system for image local invariant features. Background technique [0002] With the rapid development of multimedia and Internet technology, image resources are increasing day by day, how to let the computer automatically process and analyze these massive data has become a difficult problem in computer vision. Since computers can only process low-level visual features of images, such as color, texture, shape, etc., human understanding of images is always based on the semantic information expressed by images. If computers can extract and understand the semantic information of images from images like humans, then the problem of automatic analysis and understanding of images by computers will be well resolved. Therefore, how to make the computer extract and understand the semantic information of images has been a h...

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Application Information

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IPC IPC(8): G06K9/46G06F17/30
Inventor 李岩山谢维信
Owner 湖南植保无人机技术有限公司
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