Machine vision for automated visual inspection of cotton quality in textile industries using color isodiscrimination contour

Tantaswadi, Prinya; Vilainatre, J.; Tamaree, N.; Viraivan, P.

doi:10.1016/s0360-8352(99)00090-x

Cited by 31 publications

(14 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Trutzschler GmbH suggested a mechatronics approach for recognizing and evaluating foreign substances in fibres 5 . P. Tantaswadi did research on using colour isodiscrimination contour to distinguish cotton from impurities 6 . However, all the above researches are focused on statistical analysis of the fibre colours, not on identification and counting of pigmented fibres.…”

Section: Introductionmentioning

confidence: 99%

Vision system for auto-detection of cashmere pigmented fibers

Dehghani

Zhang

et al. 2003

Machine Vision Applications in Industrial Inspection XI

View full text Add to dashboard Cite

The traditional method for the evaluation of cashmere quality is subjective and low in accuracy. In this paper, a computer vision system is presented for the objective identification and classification of pigmented fibres, which consists of a web maker, an image acquisition system and a computer for image processing. The techniques of fibre preparation, image acquisition and the development of suitable algorithm together with software for removal of the background fibres and counting of pigmented fibres, are described in detail.

show abstract

Section: Introductionmentioning

confidence: 99%

Vision system for auto-detection of cashmere pigmented fibers

Dehghani

Zhang

et al. 2003

Machine Vision Applications in Industrial Inspection XI

View full text Add to dashboard Cite

show abstract

“…[Prinya Tantaswadi, 1999] has presented a paper on machine vision for automated visual inspection of cotton quality in textile industries using color isodiscrimination contour. The automated visual inspection is carried out by analysis of cotton image.…”

Section: Literature Surveymentioning

confidence: 99%

A Rule Based Approach for Classification of Shades of Basic Colors of Fabric Images

Anami¹,

Elemmi²

2015

IJSIP

View full text Add to dashboard Cite

show abstract

“…Various techniques have been employed to implement automatic inspection and removal of foreign contaminant in lint; these include ultrasonic-based inspection, sensor-based inspection, machine-vision-based inspection, etc. in recent years, machine-vision systems have been applied in the textile industries (tantaswadi et al, 1999;Millman et al, 2001;Abouelela et al, 2005) for inspection and/or removal of foreign matter in cotton (Lieberman et al, 1998), wool (Su et al, 2006) or composites (Chiu et al, 1999;Chiu and Liaw, 2005).…”

Section: 3mentioning

confidence: 99%