ABSTRACT Non invasive feature detection in wood based application requires exact discrimination between geometrical edges and texture. It has been found that traditional edge detection algorithms are highly sensitive to noise and texture and produces inferior results with wood. The present work encompasses a micro level reconstruction of Palash and Rosewood by using micro X-rays CT scanner. It also encompasses a new edge detection algorithm using newly constructed Chebyshev polynomial based fractional order differentiator. Transform based method has been used for reconstruction purpose. Newly designed fractional order filter has been applied on these reconstructed images. Chebyshev polynomial based fractional order differentiator has been used for filtering operation. Quadrature Mirror Filter (QMF) concept has been used for design of high pass filter and low pass filter. Preprocessing has been performed by using this filter. Canny edge detection algorithm has been used on this preprocessed image. The algorithm has been tested on two different test cases of wood images a) Palash and b) Rosewood. The effect of relaxation coefficient has also been presented and discussed.

中文翻译：

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一种新的无创提取木材几何和纹理特征的方法

摘要 基于木材的应用中的非侵入性特征检测需要精确区分几何边缘和纹理。已经发现，传统的边缘检测算法对噪声和纹理高度敏感，并且对木材产生较差的结果。目前的工作包括使用微型 X 射线 CT 扫描仪对 Palash 和 Rosewood 进行微观重建。它还包含使用新构造的基于切比雪夫多项式的分数阶微分器的新边缘检测算法。基于变换的方法已被用于重建目的。新设计的分数阶滤波器已应用于这些重建图像。基于切比雪夫多项式的分数阶微分器已被用于滤波操作。正交镜面滤波器 (QMF) 概念已用于高通滤波器和低通滤波器的设计。使用此过滤器进行了预处理。这张预处理后的图像使用了 Canny 边缘检测算法。该算法已经在木材图像的两个不同测试案例 a) 帕拉什和 b) 花梨木上进行了测试。还介绍并讨论了松弛系数的影响。