Educational on Detection Process of Phasatpung Pattern (Honeycomb) in Mudmee Silk of Thailand Local Weaving Community

Authors

  • Khanistha Silachot
  • Pattanasak Patumwan
  • Wiranya Sutthikun
  • Kriangsak Rukpukdee

Keywords:

Image segmentation, Image detection, Phasatpung pattern, Mudmee silk

Abstract

This research aims to develop a process to detect Prasatpungpattern (honeycomb) in Mudmee Thai silk from the network of weaving community enterprise in northeastern region of Thailand. The process is using image processing by analyze histogram and using sliding window technique to segment and detect Prasatpung pattern. Data had been processed was traditional Phasatpung pattern of Mudmee silk, collected by capturing the pattern images with digital camera and phone camera in total of 885 images. Benchmarked results had showed that the accuracy of pattern segmentationwas 43.73% and the accuracy of pattern detection was 68.99%. Due to complications of pattern of Mudmee silk, the segmenting and detecting process could represent only at moderate level of accuracy

Author Biographies

Khanistha Silachot

UbonRatchathani Rajabhat University, Thailand

Pattanasak Patumwan

UbonRatchathani Rajabhat University, Thailand

Wiranya Sutthikun

UbonRatchathani Rajabhat University, Thailand

Kriangsak Rukpukdee

UbonRatchathani Rajabhat University, Thailand

References

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Published

2024-01-01 — Updated on 2024-02-19

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