Cukurova University,Department of Textile Engineering, Main Branch of Textile Technology

Showing posts with label Martindale. Show all posts
Showing posts with label Martindale. Show all posts

September 08, 2020

The Relationship Between Subjective Pilling Evaluation Results and Detecting Pills and Textural Features in Knitted Fabrics

The digital image processing studies are used in order to eliminate problems of subjective pilling evaluation. However, these applications did not come to the desired point. The purpose of this research is to put forward with explanations about the reasons for the failures of previous studies in objective pilling evaluation. In this study, three issues were dwelled on. Firstly, data belong to original fabrics (0 turns) were taken into consideration. Secondly, data were standardized using min-max normalization with a feature scaling approach to compare different fabrics. For this process, data after pilling and results belong to original fabrics (0 turns) were taken together. Thirdly, knitted fabrics were separated into different categories according to formed pill types and characteristics after pilling processing. The results were evaluated in the most appropriate category according to the pill’s structure. Two sample fabrics containing appropriate structure and characteristics which were able to explain the three overlooked issues were used. In digital image processing made by paying attention to these mentioned three points, both pill parameters and textural features obtained from digital images were determined. The relationships between these parameters and subjective evaluation results were examined.

Source: Fibers and Polymers

Publisher: The Korean Fiber Society (KFS)

Original Language: English

Document type: Article / Restricted Access



May 30, 2019

Objective Measurement of Pilling Resistance in Knitted Fabrics with Image Processing Techniques

In the textile industry, measurement techniques based on image processing principles prepare to take over subjective evalution.

In this study, MATLAB software was used to evaluate pilling of knitted fabrics as objective. Knitted fabric images were taken in the cycles of 1000, 2000, 3000, 5000 and 7000.

Fabric’s surface digitization, pills detection and segmentation were carried out from these images.

Texture analysis was performed with Gray Level Co-occurrence Matrix (GLCM). After this phase, pill quantizations were made using images in matrix format obtained from image processing studies.

Standart deviation, entropy and mean of matrix elements, pill count, pill area and contrast values increased with the increase of rubbing cycles applied on the fabric.

Furthermore, the increase of rubbing cycles caused decrease in energy and homogeneity.

Source: Journal of Textiles and Engineer
Publisher: Chamber of Textile Engineering
Original Language: Turkish
Document type: Article / Open Access

Cited by 1 documents except author up to this time :

1. Kaynar Taşcı, Z., & Çelik, N. (2021). The Effect of Using Silver Fiber Content Yarns in Shirting Fabrics on Abrasion Resistance and Pilling Properties. Journal of Natural Fibers, 1-9.