An Image Texture Classification Method Based on Jump Subdivision Partial Mode

An image texture and local pattern technology, applied in the field of computer vision and pattern recognition, can solve the problem of limited application scope of image texture method, and achieve the effect of fast calculation speed, easy implementation and small feature dimension.

Active Publication Date: 2022-01-28
HENAN UNIV OF SCI & TECH
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an image texture classification method based on jump subdivision local mode, which solves the problem that the application range of existing image texture methods is relatively limited

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  • An Image Texture Classification Method Based on Jump Subdivision Partial Mode
  • An Image Texture Classification Method Based on Jump Subdivision Partial Mode
  • An Image Texture Classification Method Based on Jump Subdivision Partial Mode

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Embodiment Construction

[0045] An image texture classification method based on jumping sub-partial mode, including the following steps:

[0046] Step 1: Jumping Local Differential Counting Features (JLDCP), including second-order differential count features (SDCP), and diagonal dimension counting features (DDCP):

[0047] Calculate the second order differential count (SDCP): It is mainly to extract features within the spatial range of the local area, and is achieved by the differential relationship between the neighboring pixel points of the central pixels within the local area. In theory, enough differential operations can extract instability information in the image, but the more the number is, the better, the difference is the refining extraction of the information, and some features will be lost, so it is appropriate to actually use. First, first specify a position of a neighbor pixel point, then do a difference with the previous pixel point, then the designated neighbor pixel point is different from...

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Abstract

An image texture classification method based on jumping subdivision local patterns, first extracts jumping local difference counting features (JLDCP) information through second-order difference counting features and diagonal difference counting features, and then subdivides the complete local binary features Extract the subdivided complete local binary feature (RCLBP) from the sign information and size information of Texture Descriptor for Differentiated Local Patterns (JRLP). Beneficial effects of the present invention: the present invention is robust to image noise, rotation, scale and illumination changes and the like.

Description

Technical field [0001] The present invention relates to the field of computer vision and pattern recognition, and is specifically a method of image texture classification based on jumping sub-block mode. Background technique [0002] Texture is a visual feature that is difficult to describe, and is repeated in accordance with the basic unit of a certain rule. People have the following consensus, periodic, directional, regional and scale. People generally divide textures into three major categories, natural textures, artificial textures, mixed textures. Texture classification process is generally simple summary: first to read all texture pictures. Second, according to the construction method of texture characteristics, the characteristics of each texture image are constructed. The picture feature is then divided into training sets and test sets, and finally utilize the classifier, and classify the pictures in the test set according to the classification, such as the nearest neighb...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/44G06V10/50G06V10/30G06K9/62G06V10/764
CPCG06V10/30G06V10/467G06V10/50G06V10/44G06F18/24147
Inventor 董永生王田玉杨春蕾梁灵飞郑林涛谢国森刘中华王琳宋斌
Owner HENAN UNIV OF SCI & TECH
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