Wood species category identification method and system based on cell analysis

A wood and tree species technology, applied in the field of wood species classification based on cell analysis, can solve problems such as high cost, cumbersome process, and heavy workload, so as to improve efficiency and accuracy, reduce manpower and material costs, and shorten manual comparison The effect of retrieval time

Inactive Publication Date: 2017-10-24
GUANGDONG MATVIEW INTELLIGENT SCI & TECH CO LTD
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiencies in the prior art, one of the purposes of the present invention is to provide a method for identifying wood species categories based on cell analysis, which can solve the problems of large workload, high cost, and cumbersome processes in the identification of wood species in the prior art. question
[0006] The second object of the present invention is a wood species identification system based on cell analysis, which can solve the problems of large workload, high cost and cumbersome process in the identification of wood species in the prior art

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 species category identification method and system based on cell analysis
  • Wood species category identification method and system based on cell analysis
  • Wood species category identification method and system based on cell analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Below, the present invention will be further described in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of not conflicting, the various embodiments described below or the technical features can be combined arbitrarily to form new embodiments. .

[0036] A kind of wood tree species identification method based on cell analysis, such as figure 1 shown, including the following steps:

[0037] S1. Obtain multiple wood slices and corresponding images of the wood to be classified.

[0038] First, the wood to be classified is processed into multiple wood slices, and the wood slices are respectively cross-section, string section and radial section. Then, each wood slice is magnified by a certain number of times through an electron microscope to obtain a corresponding image of the wood slice. For example, if image 3 As shown, the cross-section is magnified 20 times by electron microscope; as Figur...

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 discloses a wood species category identification method and system based on cell analysis. The method comprises the following steps: acquiring a plurality of wood slices of to-be-classified woods and corresponding images; preprocessing the image of each wood slice; respectively performing feature extraction on the preprocessed image of each wood slice and obtaining corresponding feature extraction results; comparing the feature extraction result of each wood slice with the corresponding feature extraction result in a preset recognition model in the system, and obtaining the wood species of the to-be-classified woods; and acquiring wood data information from the corresponding wood database according to the wood species of the to-be-classified woods, and displaying the wood data information to users. According to the method disclosed by the invention, the wood species identification efficiency and search time can be greatly improved, and the cost of manpower and material resources during wood species category identification is reduced.

Description

technical field [0001] The invention relates to a classification of wood species, in particular to a classification problem of wood species based on cell analysis. Background technique [0002] Timber species identification is an applicable technology to identify tree species through the internal and external characteristics of wood, and plays a very important role in the process of wood generation, circulation and use. The methods of wood identification are mainly divided into macroscopic identification and microscopic identification. Macroscopic identification is to identify wood based on the macroscopic structural characteristics of wood seen with the naked eye or under a magnifying glass. This method is less accurate and generally only identifies the type of wood. Microscopic identification refers to the observation of wood cell morphology and cell wall characteristics under an optical microscope or an electron microscope. The method of using microscopic characteristics...

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 Applications(China)
IPC IPC(8): G01N21/84G06T7/00G06K9/46G06K9/62
CPCG06T7/0012G01N21/84G01N2021/8466G06T2207/30004G06T2207/20021G06T2207/10061G06V10/44G06F18/24
Inventor 邓立邦
Owner GUANGDONG MATVIEW INTELLIGENT SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products