具有自适应压缩机制的STL网格模型切片方法

Research on Adaptive Reduction Method of Slice Data Based on Wavelet Transform

针对切片后二维平面数据量过多及错误数据存在,影响快速成型质量的问题,提出了一种等厚分层切片后基于小波系数变换的数据自适应压缩方法,将切片后的二维平面数据以小波变换作为依据进行优化,利用小波系数峰值,自适应地保留能反映目标特征和细节信息的点,实现对切片后二维数据的压缩和优化。实验结果表明:本方法在等厚分层完成对STL模型切片的基础上,以小波系数峰值的变化为依据实现对二维平面数据的自适应压缩,并最大限度的保留特征信息,从而解决因STL文件格式缺陷而影响快速成型精度的问题。

Aiming at the accuracy in rapid prototyplng, a data adaptive compression method based on wavelettransform is put forward to solve the problems which have too many two dimensional data and error data after sli-cing. The 2D plane data are optimized by wavelet transform, and the wavelet coefficients are used to keep thepoints that can reflect the target feature and detail information. Experimental results show that the STL model iscompleted on the basis of equal thickness, and the wavelet transform coefficients are based on the peak value of thewavelet coefficients. This method can maximize the retention of information, which can solve the problem of theSTL file format defects and the impact of rapid prototyping accuracy.