Morphological segmentation and digital image processing to retrieve geometric characteristics of fabric filaments
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An image processing algorithm, mainly based on morphological enhancement and segmentation, is developed and applied to optical microscope images of transverse cuts of fabric filaments, to retrieve useful shape characteristics. Adaptive filtering and non-linear fitting algorithms are also applied. Computer generated noisy images are used to estimate the algorithm accuracy with excellent results. This algorithm is a significant improvement over the current human-based inspection method for filament shape analysis, and its development and application will improve quality control in textile industry. The complete procedure is outlined in the present work, showing relevant results and pointing out pertinent restrictions. © 2005 SPIE and IS&T.