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IJAT Vol.10 No.2 pp. 201-208
doi: 10.20965/ijat.2016.p0201
(2016)

Paper:

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Wavelet Transform Data Compression with an Error Level Guarantee for Z-Map Models

Nobuyuki Umezu*,†, Kazuki Asai**, and Masatomo Inui*

*Ibaraki University
4-12-1 Nakanarusawa, Hitachi, Ibaraki 316-8511, Japan

†Corresponding author,

**Hitachi, Ltd.
6-27-18 Minami Oi, Shinagawa-ku, Tokyo 140-3748, Japan

Received:
October 1, 2015
Accepted:
December 24, 2015
Online released:
March 4, 2016
Published:
March 5, 2016
Creative Commons License
Keywords:
NC milling simulation, irreversible data compression, error range tree, gzip, Haar wavelet
Abstract
This paper proposes an algorithm to compress CAD models in a grid-based Z-map representation while keeping the compression artifacts within a specified value (the maximum difference allowed by the user). A wavelet transform is used for decomposing the input shape into lower and higher frequency patterns. A significant reduction in the data size can be achieved by deleting higher frequency components. We employ a tree structure called the error range (ER) tree to manage error occurrences and determine where to prune branches without increasing the resulting errors in the data compression. The widely used reversible compression method, gzip, is then used to obtain the final compressed model data output. We conducted a series of experiments with 12 sample shape models on a 512 × 512 grid. With a maximum error of 10 μm (a typical value specified for NC milling), the proposed method reduces the data by 90.9% on average and the computational cost of 19 ms is extremely low. The proposed method can be extended to larger CAD models in real applications.
Cite this article as:
N. Umezu, K. Asai, and M. Inui, “Wavelet Transform Data Compression with an Error Level Guarantee for Z-Map Models,” Int. J. Automation Technol., Vol.10 No.2, pp. 201-208, 2016.
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