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  • 标题:Foot Anthropometry Device and Single Object Image Thresholding
  • 本地全文:下载
  • 作者:Amir Mohammad Esmaieeli Sikaroudi ; Sasan Ghaffari ; Ali Yousefi
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2017
  • 卷号:8
  • 期号:3
  • 页码:1
  • DOI:10.5121/sipij.2017.8301
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:This paper introduces a device, algorithm and graphical user interface to obtain anthropometricmeasurements of foot. Presented device facilitates obtaining scale of image and image processing by takingone image from side foot and underfoot simultaneously. Introduced image processing algorithm minimizesa noise criterion, which is suitable for object detection in single object images and outperforms famousimage thresholding methods when lighting condition is poor. Performance of image-based method iscompared to manual method. Image-based measurements of underfoot in average was 4mm less thanactual measures. Mean absolute error of underfoot length was 1.6mm, however length obtained from sidefoot had 4.4mm mean absolute error. Furthermore, based on t-test and f-test results, no significantdifference between manual and image-based anthropometry observed. In order to maintain anthropometryprocess performance in different situations user interface designed for handling changes in light conditionsand altering speed of the algorithm.
  • 关键词:Foot anthropometry; Image processing; Single object image thresholding
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