Texture identification method based on complete local characteristics

A technology of local features and textures, applied in the field of pattern recognition, can solve problems such as the influence of texture recognition results, and achieve the effect of improving robustness

Active Publication Date: 2017-03-22
TIANJIN NORMAL UNIVERSITY
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Problems solved by technology

[0004] The purpose of the present invention is to solve the technical problem that environmental changes have a great influence on the texture recognition results. Therefore, the present invention provides a texture recognition method based on complete local features

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  • Texture identification method based on complete local characteristics
  • Texture identification method based on complete local characteristics

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[0038] 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 combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0039]figure 1 is a flowchart of a texture recognition method based on complete local features proposed according to an embodiment of the present invention, as shown in figure 1 As shown, the method includes the following steps:

[0040] Step S1, calculate the local feature transformation magnitude k of the training grayscale texture image, and learn the magnitude transformation matrix T for the transformation magnitude ...

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Abstract

An embodiment of the invention discloses a texture identification method based on complete local characteristics, which belongs to the technical field of mode identification. The method comprises the following steps of calculating an amplitude histogram hm, a symbol histogram hs and a center coded histogram hc of a trained grayscale texture image; based on texture identification characteristic vectors of the histograms, using a support vector machine for carrying out training to obtain a texture identification classification model; and obtaining a texture identification characteristic vector for testing the grayscale texture image, and inputting the texture identification characteristic vector into the texture identification classification model to obtain a texture identification result. A transformation matrix is used for processing the grayscale texture image to achieve the object of adapting to the environment, so that the robustness of texture identification is achieved.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to a texture recognition method based on complete local features. Background technique [0002] Texture classification plays an important role in the field of pattern recognition, and it can be directly applied to image retrieval, remote sensing, medical image analysis and other fields. In practical applications, texture classification is a very challenging research direction, because textures are affected by external factors such as illumination, angle, and scale. [0003] Texture classification has been widely studied in recent decades, and some early methods use co-occurrence matrix, hidden Markov model, image filtering and other methods to extract invariant features. However, it is difficult for these methods to overcome the challenges of illumination changes and viewing angle changes. In recent years, a large number of texture recognition methods have ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
CPCG06V10/507
Inventor 张重刘爽
Owner TIANJIN NORMAL UNIVERSITY
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