Author/Authors
yildiz, kazım marmara university - technology faculty - department of computer engineering, Istanbul, Turkey , demir, önder marmara university - technology faculty - department of computer engineering, Istanbul, Turkey , ülkü, eyüp emre marmara university - technology faculty - department of computer engineering, Istanbul, Turkey
Title Of Article
Görüntü işleme yöntemleri kullanarak kumaş dokularında hata tespiti
شماره ركورد
40992
Abstract
This paper presents a computer aided detection (CAD) system which uses wiener filter based approach for detection of defects in poplin fabric. The defective fabric images are taken with the help of the digital camera. The developed system consists of three phases, including preprocessing, segmentation and detection of fabric defect. In preprocessing phase, a RGB to gray level conversion and image enhancement operations were applied to digital camera images. In segmentation phase, background of the gray level image segmented using morphologic operations. Then, segmented image was converted to binary image to facilitate fabric defect detection process. Fabric defect detection was performed using wiener filter in the detection phase of the system. Wiener filter is applied to binary level image to eliminate structures which are not defect. The developed detection system applied on defective poplin images for detection. The obtained results on different kinds of fabric defects show that the proposed algorithm gives promising results.
From Page
841
NaturalLanguageKeyword
Texture surface , Defect detection , Wiener filter , Computer aided detection , Segmentation
JournalTitle
Pamukkale University Journal Of Engineering Sciences
To Page
844
JournalTitle
Pamukkale University Journal Of Engineering Sciences
Link To Document