Multiscale Segmentation Techniques for Textile Images

Lu, Xiqun

doi:10.5772/14508

Cited by 2 publications

(1 citation statement)

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“…Lu projected multi-scale segmentation techniques for textile images to solve the diffi culty in fabric appearance (fabric texture structure and texture noise) [68]. In this approach, there were predetermined numbers of distinct colors in the textile image, and since the images contain uniform distributed texture structure, the color information was the main feature considered during segmentation.…”

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confidence: 99%

Review of Printed Fabric Pattern Segmentation Analysis and Application

Kumah

Raji

Pan

2020

Autex Research Journal

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Image processing of digital images is one of the essential categories of image transformation in the theory and practice of digital pattern analysis and computer vision. Automated pattern recognition systems are much needed in the textile industry more importantly when the quality control of products is a significant problem. The printed fabric pattern segmentation procedure is carried out since human interaction proves to be unsatisfactory and costly. Hence, to reduce the cost and wastage of time, automatic segmentation and pattern recognition are required. Several robust and efficient segmentation algorithms are established for pattern recognition. In this paper, different automated methods are presented to segregate printed patterns from textiles fabric. This has become necessary because quality product devoid of any disturbances is the ultimate aim of the textile printing industry.

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confidence: 99%