The Evaluation of Uster Hairiness Results with an Image Analysis Approach

Authors : Abdurrahman Telli

Pages : 899-905

Doi:10.21605/cukurovaumfd.1410206

View : 47 | Download : 76

Publication Date : 2023-12-28

Article Type : Research Paper

Abstract :In this study, the images of the yarns were taken using a stereomicroscope. MATLAB software was used in image processing studies. The recommended image acquisition and processing steps in previous studies were followed, and the obtained results from textural parameters of images were compared with the results of Uster H and sh. The highest correlation in Uster H hairiness was obtained in the entropy textural parameter of the Sobel technique. The highest correlation in Uster sh hairiness was obtained in the mean of matrix elements (mean2) from the textural parameters in the Sobel technique. In general, higher correlation results were found in Uster sh than in Uster H. It has been observed that the Uster H results have deficiencies in determining the hairiness of dyed yarns. The different from the literature, this study presents that among the hairiness parameters, Uster sh shows the values closest to the real.
Keywords : İplik tüylülüğü, Uster Tester, Görüntü işleme, Kenar belirleme algoritması, Görüntü doku parametreleri