Automatic Measurement of Garment Using Image Processing
Karunamoorthy Balasubramaniam1, J. Ramprabu2
1Karunamoorthy Balasubramaniam, Associate Professor, Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2J. Ramprabu, Assistant Professor, Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 30 September 2019 | Revised Manuscript received on 12 November 2019 | Manuscript Published on 22 November 2019 | PP: 1562-1565 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F12840986S319/19©BEIESP | DOI: 10.35940/ijeat.F1284.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Switching Median Filter, Boundary Localization.
Scope of the Article: Signal and Image Processing