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

Wood identification method

An identification method and wood technology, applied in the field of wood identification, can solve problems such as low recognition rate, and achieve the effects of improving the recognition rate, maintaining the recognition rate, and improving execution efficiency.

Inactive Publication Date: 2011-03-30
ZHEJIANG FORESTRY UNIVERSITY
View PDF2 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the problem of low recognition rate of the recognition method based on wood pictures in the prior art, and propose a wood recognition method with higher recognition rate

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 identification method
  • Wood identification method
  • Wood identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Below in conjunction with accompanying drawing, the present invention will be further described:

[0029] Such as figure 1 The timber identification method shown mainly comprises the following steps:

[0030] (1) Feature quantity generation: divide a wood image into blocks, extract the local features of each block image, combine the local features of multiple blocks to form the features of the wood image, and use clustering to process the wood image. The features are clustered and merged to extract the cluster information, and on this basis, the cluster information is screened to form the feature quantity of the wood image;

[0031] (2) Repeat step (1) for each image in the training sample set containing N original wood images to generate a feature set containing N feature quantities;

[0032] (3) Repeat step (1) for the wood image to be recognized to generate the feature quantity of the wood image to be recognized;

[0033](4) Calculate the feature quantity ...

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 a wood identification method. The method comprises the following steps of: (1) generating characteristic quantities, namely partitioning a wood image, extracting local characteristics of each partitioned image, combining the local characteristics of a plurality of partitioned images to form the characteristics of the wood image, clustering and merging the characteristics of the wood image by clustering, extracting clustered information, and on the basis, screening the clustered information to form the characteristic quantities of the wood image; (2) repeating the step (1) for each image in an N original wood images-containing training sample set so as to generate an N characteristic quantities-containing characteristic set; (3) repeating the step (1) for the wood images to be identified so as to generate the characteristic quantities of the wood images to be identified; and (4) calculating the characteristic quantities of the wood images to be identified and the characteristic set by an earth mover's distance (EMD) algorithm to generate N EMDs, and classifying the N EMDs to obtain an identification result. The method has higher identification rate.

Description

technical field [0001] The invention relates to a wood recognition method, in particular to a wood recognition method using computer aided means and based on image texture analysis. Background technique [0002] The early methods of wood identification mainly rely on manual experience and knowledge, combined with some auxiliary tools, such as retrieval tables, edge punched cards, and for example, the announcement date is October 1, 1986, and the announcement number is the number of Chinese patent applications published by CN86200457U Timber identification card, etc., according to the macroscopic and microscopic characteristics, gradually identify and identify wood through observation, comparison and analysis. High-quality or special-purpose wood is often treated as general-purpose wood. As for general-purpose wood, there will also be blind use and misuse due to unclear identification. The link brings inconvenience, affects the improvement of the economic interests of forest...

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
IPC IPC(8): G06K9/62
Inventor 汪杭军陈松茂孙伶君祁亨年张广群
Owner ZHEJIANG FORESTRY UNIVERSITY
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