Abstract
Measurements of fibre alignment are important for assessing the quality of fibre reinforced composite materials. The Fourier-Transform Misalignment Analysis (FTMA) algorithm is able to measure the average alignment of features over an area, and is therefore well-suited to measuring fibre alignment in low-magnification images. In images with few pixels, the precision of the FTMA algorithm depends on the alignment of the image features. Features at 45° can be measured with greater precision than those near 0 or ±90°. To combat this, a new FTMA-MultiRotate method is proposed. This modified algorithm has been assessed against computer-generated images, where it is able to achieve an average accuracy within ±0.5°. It has then further been applied to measure fibre alignment in low-magnification photographs of glass fabrics, and these measurements have been verified against measurements taken manually. In 93% of cases, agreement between the modified FTMA-MultiRotate algorithm and manual measurements is within ±1.5°.
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