The Comparison of the Edge Detection Methods in the Determination of Yarn Hairiness through Image Processing

Abstract

The resolution, quality and speed of the cameras have improved enormously in recent years. The combination of camera advancements and the software industry offers significant opportunities. In this study, an image processing approach for the determination of yarn hairiness was presented. Yarn images taken under a microscope were examined in MATLAB software. Seven different edge detection algorithms were used in order to separate the hairs from the yarn body. Seven different textural properties of obtained yarn images were compared with Zweigle hairiness test results. The findings have indicated that yarn hairiness can be clearly detected from microscope images with a six-step algorithm. The first four phases are grayscale, double format, 2D median filtering and histogram-fitting, respectively. The fifth stage is the edge detection algorithm and the sixth stage is the use of textural parameters. When compared with the Zweigle hairiness results, the most obvious finding to emerge from this study is that the best appropriate technique for edge detection was the Sobel method, and the textural parameter to be used in the evaluation was the standard deviation of matrix elements.

Bir Görüntü Analiz Yaklaşımı ile Uster Tüylülük Sonuçlarının Değerlendirilmesi

“…Similarly, in a previous study on Zweigle S3 hairiness, the highest correlation was found in the entropy of images processed using the Sobel technique [8]. When only ecru yarns (1-6) were evaluated instead of all yarns, higher correlation values were obtained.…”

“…MATLAB R2018a software was used in image processing studies. The following steps were followed in image processing, respectively [8,10].…”

“…A strong correlation was obtained between image processing results and Zweigle hairiness. In the study, 100% cotton yarns produced in three different spinning systems were used [8]. When the study was repeated with yarns in different raw materials, numbers and colors, the correlation values show a decrease [9].…”

Comfort Properties of Textiles: A Review of Some Breakthroughs in Recent Research

“…Researchers have successfully studied the blending of recycled PET flakes with virgin PET chips [50][51][52][53][54][55]. Recycled polyester blended yarns were successfully produced by ring, rotor and friction spinning [56][57][58][59][60][61]. Knit fabrics are commonly preferred in sportswear, casualwear and innerwear due to their outstanding comfort properties, extensible loop structure, light weight, warmth, wrinkle resistance and easycare properties [62].…”

Pamuk iplikhanesindeki teleflerinin analizi

“…Bu tip ürünlerin en bilinen örneklerinden biri polietilen tereftalat (PET) şişeler olup, bu şişeler toplanıp, geri dönüştürüldükten sonra tekstil ürünlerinde %100 olarak veya karışımlar halinde "r-PET elyafı" olarak kullanılır ki bu konuyla ilgili çok sayıda çalışma bulunmaktadır. Bu çalışmaların bir kısmı; elyafın özellikleri ve eğrilebilirliği ile iplik ve kumaş özelliklerini kapsar [4,5,6,7]. Araştırmaların diğer bir kısmı ise tekstil atıklarının farklı ürünlerde kullanılmasına odaklanmıştır.…”