Morphological segmentation and digital image processing to retrieve geometric characteristics of fabric filaments

Manuel Guizar-Sicairos; Raul Hernandez-Aranda; Ibrahim Serroukh; Alfonso Serrano-Heredia

doi:10.1117/12.586058

1 March 2005 Morphological segmentation and digital image processing to retrieve geometric characteristics of fabric filaments

Manuel Guizar-Sicairos, Raul Hernandez-Aranda, Ibrahim Serroukh, Alfonso Serrano-Heredia

Author Affiliations +

Proceedings Volume 5672, Image Processing: Algorithms and Systems IV; (2005) https://doi.org/10.1117/12.586058
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

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.

Citation Download Citation

Manuel Guizar-Sicairos, Raul Hernandez-Aranda, Ibrahim Serroukh, and Alfonso Serrano-Heredia "Morphological segmentation and digital image processing to retrieve geometric characteristics of fabric filaments", Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, (1 March 2005); https://doi.org/10.1117/12.586058

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