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A Texture Recognition Method Based on Complete Local Features

A local feature and texture technology, 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: 2019-05-03
TIANJIN NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
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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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  • A Texture Recognition Method Based on Complete Local Features
  • A Texture Recognition Method Based on Complete Local Features
  • A Texture Recognition Method Based on Complete Local Features

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Embodiment Construction

[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 conjunction 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

The embodiment of the invention discloses a texture recognition method based on complete local features, which belongs to the technical field of pattern recognition. The method comprises the following steps: calculating the amplitude histogram hm, the sign histogram hs and the center coding histogram hc of the grayscale texture image for training; forming a texture recognition feature vector based on the histogram, using a support vector machine for training, and obtaining Texture recognition classification model; obtain the texture recognition feature vector of the test grayscale texture image, input it into the texture recognition classification model, and obtain the texture recognition result. The invention achieves the purpose of adapting to the environment by using the transformation matrix to process the grayscale texture image, thereby improving the robustness of texture recognition.

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 Patents(China)
IPC IPC(8): G06K9/46
CPCG06V10/507
Inventor 张重刘爽
Owner TIANJIN NORMAL UNIVERSITY
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