Method for identifying and classifying wood defects based on multiple features

Abstract

The invention discloses a method for identifying and classifying wood defects based on multiple features. The method comprises the following steps of firstly, selecting experiment sample data; then, collecting stress wave propagation speed data; collecting resistance value; performing data processing on the stress wave propagation speed data and the resistance value; separating a plurality of groups of sample data of each wood defect type into training group data and classifying group data; finally, adopting a support vector machine method to train and classify; using a stress wave wood non-destructive detection instrument to collect the feature of the stress wave propagation speed data, and using a micro-drill resistance instrument to collect the feature of the resistance value, so as to well represent the global feature of the cross section of the wood; identifying and classifying the interior defect of the wood according to the features of the two types of wood data and the support vector machine method, so as to accurately classify the type of the wood defect. The method has the advantages that the reliability is higher, the implementing is convenient and flexible, and the cost of the instruments is reduced.

Description

technical field [0001] The invention belongs to the technical field of wood non-destructive testing, and in particular relates to a multi-feature-based wood defect recognition and classification method. Background technique [0002] Facing the current situation of scarcity of wood resources, how to improve the utilization rate of wood and promote the sustainable development of my country's forestry modernization has become the focus of forestry workers. Stress wave wood nondestructive testing technology and micro-drilling resistance wood testing technology are widely used in wood nondestructive testing because of their own characteristics. However, the current stress wave wood nondestructive testing technology and micro-drilling resistance wood testing technology can only qualitatively determine whether there are defects, the size of the defects, and the location of the defects in the wood, but cannot determine the specific type of defects, which leads to the maintenance and...

AI Technical Summary

Problems solved by technology

However, the current stress wave wood nondestructive testing technology and micro-drilling resistance wood testing technology can only qualitatively determine whether there are defects, the size of the defects, and the location of the defects in the wood, but cannot determine the specific type of defects, which leads to the maintenance and reputation of ancient buildings. In the process of protecting ancient trees, it is difficult to select different measures for specific defects for post-processing

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