Image scene classification method based on target and space relationship characteristics

A technology of spatial relationship and scene classification, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of ignoring the characteristics of the spatial relationship between objects, and achieve the effect of improving the accuracy of classification

Inactive Publication Date: 2013-01-30
INST OF ELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology

It makes up for the defect that the existing image scene classification method ignores the characteristics of the spatial relationship between objects in the image, and improves the classification accuracy

Method used

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  • Image scene classification method based on target and space relationship characteristics
  • Image scene classification method based on target and space relationship characteristics
  • Image scene classification method based on target and space relationship characteristics

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Embodiment Construction

[0033] The present invention is an image scene classification method based on objects and their spatial relationship characteristics. The details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. figure 1 It is the system framework of the image scene classification method of the present invention, which mainly includes 4 parts.

[0034] Spatial relationship histogram calculation

[0035] The invention defines a spatial relationship histogram to represent the spatial relationship between objects, which can reflect its topological relationship, direction relationship and measurement relationship.

[0036] Note that the reference object is R, and the target object is A. The present invention uses all points of the two objects to calculate the histogram of the spatial relationship between the objects. as attached figure 2 As shown, the parallel line l with inclination angle θ θ , the val...

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Abstract

The invention discloses an image scene classification method based on target and space relationship characteristics and relates to image scene classification technologies. The method comprises the steps of: defining a space relationship histogram, conducting representation on the space relationship between targets, comprising left, right, top, bottom, far, near, including and excluding, and giving a calculation method; labeling a target in a sample image, assigning the membership degree of the space relationship between any two targets, counting mathematical features of the membership degree of the space relationship between any two targets in the scene, classifying the space relationship histogram between the targets by using a fuzzy K neighbor classifier according to test images, and calculating the membership degree of the space relationship; establishing an image model by employing a probability latent semantic analysis model of the space relationship characteristics between fusion themes; and classifying the scene images by using a support vector machine. According to the method, the image is modeled by employing the probability latent semantic analysis model of the space relationship characteristics between fusion themes, and the scene images are classified through input of the support vector machine.

Description

technical field [0001] The invention belongs to image scene classification technology, relates to the fields of image understanding, computer vision, artificial intelligence, pattern recognition, etc., and is an image scene classification method based on objects and their spatial relationship characteristics. Background technique [0002] With the development of multimedia technology and network technology, a large amount of image information has been produced, and image classification and retrieval have attracted more and more attention. At the same time, with the rapid improvement of computer technology, image understanding has developed rapidly, and its theory has continued to develop, forming a field that is interrelated but independent of computer vision, artificial intelligence, and cognitive science. Image understanding is the semantic interpretation of images, using low-level visual features of images and high-level knowledge information to realize target recognition...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/66
Inventor 金标胡文龙付琨
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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