文献类型：期刊文献

英文题名：Development of a Wood Computed Tomography Imaging System Using a Butterworth Filtered Back-Projection Algorithm

作者：Qi, Yuhan[1] Zhou, Yucheng[1] Xu, Jiahe[1] Ge, Zhedong[1]

第一作者：戚玉涵

通信作者：Qi, YH[1]

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, Beijing, Peoples R China

年份：2018

卷号：68

期号：2

起止页码：147-156

外文期刊名：FOREST PRODUCTS JOURNAL

收录：;EI(收录号：20191506766476);Scopus(收录号：2-s2.0-85064057977);WOS:【SCI-EXPANDED(收录号:WOS:000461045800008)】；

基金：The authors acknowledge the support of the Fundamental Research Funds for the Central Non-profit Research Institution of CAF under Grant No. CAFYBB2016QA010.

语种：英文

外文关键词：Butterworth filters - Electron sources - Image enhancement - Image reconstruction - Imaging systems - Wood - X ray apparatus - X ray detectors - X rays

摘要：Aiming to provide economical equipment support for nondestructive wood testing, we developed a wood computed tomography (CT) imaging system to aid wood researchers in accurately understanding wood internal structures and defect characteristics. The wood CT system consists of an X-ray source, an X-ray detector, an electric rotational stage, and a computer. The X-ray source projects a fan-shaped X-ray beam to the wood, and the X-ray detector captures the penetrated X-ay intensity data when the wood is at different angles of rotation. The projection data were preprocessed before they were used for image reconstruction. An improved filtered back-projection (FBP) algorithm specialized for wood cross section CT image reconstruction was proposed. The traditional Ram-Lak (RL) filter and Shepp-Logan (SL) filter were replaced by a Butterworth filter. The Butterworth parameters were determined to achieve a desirable compromise between spatial resolution and image noise. Two pieces of cylindrical log (Thuja sp., Pinus sp.) and a block of laminated timber were scanned. The reconstructed images clearly revealed the internal structures of wood, and the fine features such as pith, annual growth rings, radial cracks, knots, and outer edge were enhanced, while the image noise and blurring effect were suppressed.