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

Abstract

Aiming at the accuracy in rapid prototyping，a data adaptive compression method based on wavelet transform 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 the points that can reflect the target feature and detail information. Experimental results show that the STL model is completed on the basis of equal thickness，and the wavelet transform coefficients are based on the peak value of the wavelet coefficients. This method can maximize the retention of information，which can solve the problem of the STL file format defects and the impact of rapid prototyping accuracy.

Keywords

• thick slice; two dimensional data; wavelet transform; adaptive reduction