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Feature extraction method based on wood color space

A color space and feature extraction technology, applied in image data processing, instruments, calculation models, etc., can solve problems such as the inability to accurately represent the color of wood surfaces, achieve the effect of reducing the number of features, reducing interference, and facilitating processing

Pending Publication Date: 2020-10-13
FUZHOU UNIV
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Problems solved by technology

This method does not filter out non-wood colors, which is easy to introduce interference, and the extracted color features cannot accurately represent the color of wood surfaces

Method used

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  • Feature extraction method based on wood color space
  • Feature extraction method based on wood color space
  • Feature extraction method based on wood color space

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Embodiment Construction

[0033] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0034] The present invention provides a feature extraction method based on the wood color space. Firstly, the color space of the wood color in the RGB color space is found in the shooting environment, and then the wood color features are extracted, and the magnitude and dimension of the extracted features are extracted. Compression can effectively combine similar features and make it suitable for machine learning algorithms with different input dimensions. The specific implementation of this method is as follows:

[0035] Step S1, image collection: collecting wood image samples based on industrial cameras;

[0036] Step S2, image preprocessing: filter out wood image samples that are affected by external factors on the color of wood;

[0037] Step S3, perform the contour detection operation on the wood image, and on the basis of the conto...

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Abstract

The invention relates to a feature extraction method based on a wood color space. Firstly, a color space of wood colors in an RGB color space in a shooting environment is found out, and then effectivewood color features are extracted and can be used for training as features by taking a machine learning algorithm.

Description

technical field [0001] The invention relates to the technical field of color selection of wood raw materials, in particular to a feature extraction method based on wood color space. Background technique [0002] The wood in the natural environment often cannot keep the color of the same piece of wood coordinated, and the same piece of wood may have two or more colors. This kind of wood color defect will affect the quality of wood processing and reduce economic benefits. [0003] How to describe and characterize wood color is one of the main research contents of wood color grading, and it is also an area of ​​focus in the field of wood processing. But unfortunately, so far there is no clear industry standard and national standard for wood color, mainly because the growth of wood is affected by environmental conditions, making its color distribution random and irregular. [0004] Under the RGB color space, the number of colors that can be expressed is about 16.7 million. The...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/90G06T7/13G06T5/00G06N20/00
CPCG06T7/90G06T7/13G06N20/00G06T2207/20081G06T5/70
Inventor 徐哲壮梁世佳林烨陈丹陈剑邱洋连岩杰
Owner FUZHOU UNIV
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