Görüntü işleme yöntemleri kullanarak kumaş dokularında hata tespiti

Year 2017, Volume: 23 Issue: 7, 841 - 844, 27.12.2017

Kazım Yıldız , Önder Demir , Eyüp Emre Ülkü

Abstract

Bu
çalışmada poplin kumaşta hata tespiti için wiener filtre tabanlı bilgisayar
destekli tespit sistemi sunulmaktadır. Hatalı kumaş görüntüleri dijital kamera
yardımıyla alınmıştır. Geliştirilen sistem önişleme, bölütleme ve kumaş hata
tespiti olarak 3 asamadan oluşmaktadır. On isleme aşaması, dijital görüntülere
RGB seviyeden gri seviyeye çevirme ve görüntü iyileştirme adımlarından
oluşmaktadır. Bölütleme aşamasında, gri seviye görüntünün arka planı morfolojik
işlemler ile bölütlenmiştir. Ardından, bölütlenen görüntü, hata tespit işlemini
gerçekleştirmek için ikili seviye görüntüye çevrilmiştir. Kumaş hata tespiti,
hata tespit sistemi sırasında wiener filtre kullanılarak gerçeklenmiştir.
Wiener filtre ikili seviyedeki görüntüye hatalı olmayan alanların elimine
edilmesi amacıyla uygulanmıştır. Gerçeklenen sistem, tespit işlemi için hatalı
poplin kumaşlara uygulanmıştır. Elde edilen sonuçlar, geliştirilen algoritmanın
farklı tip kumaş hatalarında iyi sonuçlar vermektedir.

Keywords

Doku yüzeyi, Hata tespiti, Wiener filtre, Bilgisayar destekli tespit, Bölütleme

Fault detection of fabrics using image processing methods

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.

Keywords

Texture surface, Defect detection, Wiener filter, Computer aided detection, Segmentation

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