Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Wood Texture Extraction and Classification Method Based on Image Technology

An image technology and texture extraction technology, applied in the field of wood texture extraction and classification based on image technology, can solve the problems of low matching degree of texture features and long algorithm time, and achieve the effect of speeding up the classification speed and accuracy

Active Publication Date: 2022-02-01
JIANGXI COLLEGE OF APPLIED TECH
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The invention provides a wood texture extraction and classification method based on image technology. The method mainly overcomes the problems of low matching degree of texture features extracted by statistical methods or long algorithm time. After grayscale processing of preprocessed pictures, Extract and classify textures from a visual perspective

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Wood Texture Extraction and Classification Method Based on Image Technology
  • Wood Texture Extraction and Classification Method Based on Image Technology
  • Wood Texture Extraction and Classification Method Based on Image Technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] Attached below Figure 1-6 , a specific embodiment of the present invention will be described in detail, but it should be understood that the protection scope of the present invention is not limited by the specific embodiment.

[0054] Such as figure 1 As shown, the wood texture extraction and classification method based on image technology provided by the embodiment of the present invention includes: firstly, background removal is performed on the collected original image, only wood information is left on the image, and the processed image is compressed, which can Effectively process different pixel images, and then extract wood texture features and judge them. The specific implementation of this method is as follows:

[0055] Step S1: image collection, using an industrial camera to collect wood image sample data;

[0056] Step S2: Perform image preprocessing on the wood image data collected in step S1, remove the background in the wood image data, and reduce the inter...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of wood texture classification, and discloses a wood texture extraction and classification method based on image technology. First, an industrial camera is used to collect wood in a good lighting environment, and background removal and grayscale image conversion are performed; The image is filtered and compressed, and then the image is differentiated and binarized, and the small object removal and morphological closing operations are performed on the binarized image. Finally, calculate the eigenvalues ​​of the textures in the image, and use the obtained eigenvalues ​​to make logical judgments to obtain the texture classification results. This method solves the problem that the accuracy of texture classification using statistical methods is not high. The invention can effectively speed up the classification speed and accuracy.

Description

technical field [0001] The invention relates to the technical field of wood texture classification, in particular to a wood texture extraction and classification method based on image technology. Background technique [0002] In factory processing, a batch of cut wood often has many different textures, which greatly damages the aesthetics during splicing. If wood with similar textures can be combined and spliced, the finished product grade of the spliced ​​wood boards can be improved, and economic benefits can be increased. [0003] How to describe and characterize wood texture is one of the main research contents of wood texture classification. But unfortunately, so far there is no clear industry standard and national standard for the texture of wood. The main reason is that the growth of wood is affected by environmental conditions, making its texture grow randomly and irregularly. [0004] In the field of image technology, there are many methods for describing texture fe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V10/20G06V10/28G06V10/54G06T7/00
CPCG06T7/001G06T2207/20032G06T2207/30161G06F18/24
Inventor 凌巍炜刘晨禄谢良金罗文强占志良肖文博郭兴隆
Owner JIANGXI COLLEGE OF APPLIED TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com