Humans have always used their senses to assess the quality of products at the personal level or in the industry. For example, when buying fruit, people examine the fruit for the parameters they consider are important for assessing its quality such as colour, uniformity of colour, surface roughness, size, shape, surface defect. However, they are not able to assess internal damages or constituents of the fruit because their vision is limited to visible spectrum which is part of a vast electromagnetic spectra. Also, in industrial situations, assessment of objects can be affected by tiredness and fatigue of inspectors as well as different inspectors may assess the required quality parameters differently. Machine vision that involves collecting information from objects in visible or other spectra and analyzing the obtained information using image processing steps can assess the quality consistently over a long period as well as assess the internal and external quality parameters. With advances in high quality sensors (cameras) for different spectra, computing power of computers, and ease of developing software for a specific application, it has been possible to apply machine vision to many fields covered in this book.
Chapter 7- Opportunities Offered by Image Processing Technology in Textile and Apparel
Abdurrahman Telli
Department of Textile Engineering, Cukurova University, Adana, Turkey
ABSTRACT: Resolution, speed, and quality of image acquisition systems have made great advances in recent years. In addition to this, the development of the software industry offers significant opportunities in many areas. The textile and apparel sector is one of these areas. Image processing studies provide new techniques in textile characterization. In textile quality control, it can replace the subjective evaluations that can lead to wrong evaluation results due to people’s inexperience, fatigue, and differences in perspectives. Image processing offers objective evaluation opportunities. In fabric defect detection, it helps to find defects either online or offline that the human eye cannot perceive. It prevents material and time wastage and increases quality. With the processing of the images taken from body scanning devices, more accurate information is obtained for clothing patterns. Digital libraries have been created by processing fiber, yarn, and fabric images. Design programs that include all stages from the yarn to the image of the garment on the model have been started to be used. Image processing offers opportunities to eliminate the damages caused by the fast fashion trend. In this chapter, current and potential usage possibilities of image processing technology in textile and apparel fields are discussed.
ISBN: 979-8-88697-975-6
Publication Date: September 15, 2023
Original Language: English
Document type: Book/ Restricted Access
Publisher: Nova Science
