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A Hybrid Soft‑computing Method for Image Analysis of Digital Plantar Scanners
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نویسنده
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Razjouyan Javad ,Khayat Omid ,Siahi Mehdi ,Alizadeh Mansouri Ali
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منبع
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journal of medical signals and sensors - 2013 - دوره : 3 - شماره : 1 - صفحه:15 -21
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چکیده
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Digital foot scanners have been developed in recent years to yield anthropometrists digital image of insole with pressure distribution and anthropometric information. in this paper, a hybrid algorithm containing gray level spatial correlation (glsc) histogram and shanbag entropy is presented for analysis of scanned foot images. an evolutionary algorithm is also employed to find the optimum parameters of glsc and transform function of the membership values. resulting binary images as the thresholded images are undergone anthropometric measurements taking in to account the scale factor of pixel size to metric scale. the proposed method is finally applied to plantar images obtained through scanning feet of randomly selected subjects by a foot scanner system as our experimental setup described in the paper. running computation time and the effects of glsc parameters are investigated in the simulation results.
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کلیدواژه
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Anthropometric measurements ,bi‑level image thresholding ,digital plantar image ,evolutionary algorithm ,foot scanner device ,gray level spatial correlation histogram
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آدرس
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islamic azad university, Department of Electrical and Electronics Engineering, ایران, islamic azad university, Young Researchers Club, ایران, islamic azad university, Department of Electrical and Electronics Engineering, ایران, amirkabir university of technology, Department of Computer Science and Mathematics, ایران
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Authors
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