• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 11
  • 5
  • 1
  • Tagged with
  • 18
  • 18
  • 18
  • 3
  • 3
  • 3
  • 3
  • 3
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Data-driven textile flaw detection methods

Tian, Xuwen, 田旭文 January 2012 (has links)
This research develops three efficient textile flaw detection methods to facilitate automated textile inspection for the textile-related industries. Their novelty lies in detecting flaws with knowledge directly extracted from textile images, unlike existing methods which detect flaws with empirically specified texture features. The first two methods treat textile flaw detection as a texture classification problem, and consider that defect-free images of a textile fabric normally possess common latent images, called basis-images. The inner product of a basis-image and an image acquired from this fabric is a feature value of this fabric image. As the defect-free images are similar, their feature values gather in a cluster, whose boundary can be determined by using the feature values of known defect-free images. A fabric image is considered defect-free, if its feature values lie within this boundary. These methods extract the basis-images from known defect-free images in a training process, and require less consideration than existing methods on the degree of matching of a textile to the texture features specified for the textile. One method uses matrix singular value decomposition (SVD) to extract these basis-images containing the spatial relationship of pixels in rows or in columns. The alternative method uses tensor decomposition to find the relationship of pixels in both rows and columns within each training image and the common relationship of these training images. Tensor decomposition is found to be superior to matrix SVD in finding the basis-images needed to represent these defect-free images, because extracting and decomposing the tri-lateral relationship usually generates better basis-images. The third method solves the textile flaw detection problem by means of texture segmentation, and is suitable for online detection because it does not require texture features specified by experience or found from known defect-free images. The method detects the presence of flaws by using the contrast between regions in the feature images of a textile image. These feature images are the output of a filter bank consisting of Gabor filters with scales and rotations. This method selects the feature image with maximal image contrast, and partitions this image into regions with morphological watershed transform to facilitate faster searching of defect-free regions and to remove isolated pixels with exceptional feature values. Regions with no flaws have similar statistics, e.g. similar means. Regions with significantly dissimilar statistics may contain flaws and are removed iteratively from the set which initially contains all regions. Removing regions uses the thresholds determined by using Neyman-Pearson criterion and updated along with the remaining regions in the set. This procedure continues until the set only contains defect-free regions. The occurrence of the removed regions indicates the presence of flaws whose extents are decided by pixel classification using the thresholds derived from the defect-free regions. A prototype textile inspection system is built to demonstrate the automatic textile inspection process. The developed methods are proved reliable and effective by testing them with a variety of defective textile images. These methods also have several advantages, e.g. less empirical knowledge of textiles is needed for selecting texture features. / published_or_final_version / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy
2

A study of the effects of construction variables on soiling characteristics of fabrics

Schreier, Maura Lee January 1977 (has links)
No description available.
3

The effects of bleaching variables on the soiling and soil removal characteristics of cotton fabrics

Johnson, Belinda Faye January 1977 (has links)
No description available.
4

A study of the fundamental factors that affect seam strength

Kornfeld, Leo Louis January 1952 (has links)
No description available.
5

A study of mechanics of triaxial fabrics

Chao, Tony Kuo Tung January 1975 (has links)
No description available.
6

A study of the flow of air through fabrics at high differential pressures

Boteler, Winston Currie 08 1900 (has links)
No description available.
7

Discriminative fabric defect detection and classification using adaptive wavelet

Yang, Xuezhi, 楊學志 January 2003 (has links)
published_or_final_version / abstract / toc / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
8

A comparison of two types of permanent press men's shirts by laboratory testing and a consumer survey

Davis, Ruth Leona, 1942- January 1967 (has links)
No description available.
9

Application of acoustic emission techniques to fabrics

Morrison, William Ogburn January 1976 (has links)
No description available.
10

Design, construction, and production of continuous filament nylon carpeting for the transportation industry

Maffett, Joe Baxter January 1965 (has links)
No description available.

Page generated in 0.1026 seconds