웨어블릿-몬테 카를로법을 이용한 가상 직물이미지의 묘사Wavelet-Monte Carlo Simulation for Virtual Fabric Imaging
- Other Titles
- Wavelet-Monte Carlo Simulation for Virtual Fabric Imaging
- Authors
- 김주용
- Issue Date
- Sep-2004
- Publisher
- 한국감성과학회
- Keywords
- wavelet; Monte-carlo simulation; fabric imaging; data synthesis; sub-band exchange; wavelet; Monte-carlo simulation; fabric imaging; data synthesis; sub-band exchange
- Citation
- 감성과학, v.7, no.3, pp.1 - 6
- Journal Title
- 감성과학
- Volume
- 7
- Number
- 3
- Start Page
- 1
- End Page
- 6
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/20216
- ISSN
- 1226-8593
- Abstract
- The algorithm developed in this paper allows us to generate or synthesize a large amount of data sets using only a small amount of signal features obtained from the original data set. Because the simulated density profiles of yarns retain the original features without a significant loss of information on the location of imperfections, the resulting fabric images are likely to resemble the original images. The data expansion system developed could generate a large area of fabric images by combining the Monte Carlo simulation and the wavelet sub-band exchange algorithm developed. The system has proven effective for simulating realistic fabric images by retaining the location of imperfections such as neps, thin and thick places.
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