Wood inner defect three-dimensional imaging method based on Top-k reverse distance weighting

Abstract

The invention discloses a wood inner defect three-dimensional imaging method based on Top-k reverse distance weighting. According to stress wave propagation speed data, a known point speed data set in a space estimation point neighborhood is obtained. According to a reverse distance weighting algorithm, the attribute value of a space estimation point is computed, a three-dimensional space point distribution diagram is drawn, and according to the three-dimensional space point distribution diagram, the decaying situation in wood to be detected is analyzed. The method is used for carrying out three-dimensional imaging on wood inner defects, the neighborhood relation of the space estimation point is expanded to a three-dimensional space, the searching radius of the estimation point is increased, top-k searching is introduced, k known points with largest influence in the neighborhood are found, the attribute value of the estimation point is obtained by computing, three-dimensional imaging is carried out, and high imaging accuracy is achieved. The wood inner defect is detected, the decaying position and the decaying severity are analyzed, the technology is simple, quickness and high efficiency are achieved, the wood inner decaying situation can be known accurately and quickly, and the efficiency of wood inner decaying detecting is greatly improved.

Description

technical field [0001] The invention relates to an imaging method for internal defects of wood, in particular to a three-dimensional imaging method for internal defects of wood based on Top-k inverse distance weighting. Background technique [0002] my country is a country that is seriously short of timber resources. With the continuous improvement of economic development and people's living standards, the demand for timber is also increasing year by year. Using wood non-destructive testing technology to carry out a large number of regular detection and timely remediation of living wood has become an important means to effectively improve the utilization rate of related forestry resources. Wood non-destructive testing technology is used to detect wood growth characteristics, physical properties of wood and its structure, internal defects of wood, mechanical properties of wood, etc. The use of wood non-destructive testing technology can improve the utilization rate of wood. ...

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Problems solved by technology

[0003] In the wood non-destructive testing technology, some imaging methods are usually used to make the internal defects of the wood visually displayed, so that researchers can more quickly and intuitively study and analyze the position of the internal defects of the wood. The existing technology provides a stress wave Tomographic imaging technology, this imaging technology mainly obtains two-dimensional tomographic images of wood through stress wave tomography technology, and then obtains information such as the size and shape of internal defects in wood through tomographic images, but this method requires multiple cross-sectional images of wood The acquisition of three-dimensional research by obtaining two-dimensional tomograms of wood has a long experimental cycle and low implementation efficiency; in addition, there is a method of obtaining three-dimensional conditions inside wood through CT scanning technology in the prior art. The three-dimensional situation inside the wood is realized, but the cost is relatively high and it is not easy to realize

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