Three-dimensional imaging method of wood internal defects based on top-k inverse distance weighting

Abstract

The invention discloses a three-dimensional imaging method for wood internal defects based on Top-k inverse distance weighting. According to stress wave propagation velocity data, a data set of known point velocity in the neighborhood of a space estimated point is obtained; the space is calculated according to an inverse distance weighting algorithm. Draw a three-dimensional spatial point distribution map based on the attribute values ​​of the predicted points, and analyze the internal decay of the wood to be tested according to the three-dimensional spatial point distribution map; use this clear method to perform three-dimensional imaging of the internal defects of the wood, and expand the neighborhood relationship of the spatial predicted points. In the 3D space, increase the search radius of the predicted point and introduce the top-k query to find the k known points with the greatest influence in its neighborhood, calculate the attribute value of the predicted point and perform 3D imaging, which has high imaging accuracy ; Detect the internal defects of the wood, and analyze the decay position and the severity of the decay. The technology is simple, fast and efficient, and it can accurately and quickly know the internal decay of the wood, which greatly improves the efficiency of the wood internal decay detection.

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. ...

AI Technical Summary

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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