Open AccessAutomatic Measurement of Garment Using Image Processing
Author(s) -
Karthikeyan Balasubramaniam,
J. Ramprabu
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1284.0986s319
Subject(s) - process (computing) , computer science , enhanced data rates for gsm evolution , computer vision , pixel , artificial intelligence , image processing , measure (data warehouse) , median filter , cluster analysis , matlab , filter (signal processing) , textile , textile industry , clothing industry , clothing , image (mathematics) , data mining , history , archaeology , operating system
In this paper we can employ automatic garment size measuring in textile industry. Textile industry is necessary and wants to be advanced in manufacturing of garments without defects. So that measuring the sizes of garments in industry is still a manual process which affects the precision of measurement. Hence the development of machine vision in image processing technology is used. To improve the automatic measurement a switching median filter is used. It remove the noises in the images. After that boundarylocalization algorithm is used to detect the boundaries of the garment. Then K-means clustering algorithm based edge detection helps to measure the number of pixels occupied in the garment and size of garment is measured from the count of pixels. This garment size measurement is implemented in MATLAB 2014a.