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A Proposal of a Spline Filter that Achieves Both Robustness and Lower Compatibility

Nanomanufacturing and Metrology 2021年第2期4卷 77-85页

作者： Yuki Kondo munetoshi numada Keiya Takahashi Ichiro Yoshida Hiroyasu Koshimizu HOSEI University 3-7-2 Kajino-choKoganei-shiTokyo184-8584Japan Chukyo University 101-2 Yagotohonmati Showa-kuNagoyaAichi466-8666Japan YYC Solution 3-102-3F Kamiyashiro Meito-kuNagoyaAichi465-0025Japan

A spline filter is used to extract roughness profiles for the measurement of surface texture and is useful when sufficient sections before and after a primary profile could not be *** is because a spline filter could prevent the end effect,which is the fluctuation of output data that occurs around both ends of the primary profile and depends on the width of the weighting function of a *** spline filter is based on the calculation of an inverse matrix instead of the convolution of the weighting function of the *** input data include outliers,the output of a spline filter greatly *** solve this problem,we propose a robust spline ***,output of the robust spline is not in agreement with that of the spline filter when input data do not include ***,the robust spline filter has no lower *** this paper,the"Fast M-estimation Spline Filter(FMSF)"is *** uses the fast M-estimation *** performs robust to input data including outliers,and gives the same output as that of general spline filters to input data without *** value estimated by this method is in agreement with that estimated by the least squares method if no outlier *** order to apply the fast M-estimation method to the spline filter,convolution of weight function is used instead of the inverse *** the input geometry with shear and point-symmetric extensions is pre-processed to prevent the end effect.

关键词： Surface roughness Spline filter Robustness Lower compatibility End effect M-estimation method

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Verification of Characteristics of Gaussian Filter Series for Surface Roughness in ISO and Proposal of Filter Selection Guidelines

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Nanomanufacturing and Metrology 2021年第2期4卷 97-108页

作者： Yuki Kondo Ichiro Yoshida Dan Nakaya munetoshi numada Hiroyasu Koshimizu HOSEI University 3-7-2 Kajino-choKoganei-shiTokyo184-8584Japan Chukyo University 101-2 Yagotohonmati Showa-kuNagoyaAichi466-8666Japan YYC Solution 3-102-3F Kamiyashiro Meito-kuNagoyaAichi465-0025Japan

In surface roughness measurement,if spikes are included in the primary profile,a problem occurs wherein the Gaussian filter(GF)is unable to extract the shape *** address this problem,the use of a robust filter is ***,ISO16610-31:Gaussian regression filters(GRF)only provide a single method and a few examples,and does not specify the conditions under which the primary profile can be ***,the data presented in the example on robustness in ISO16610-31 do not contain roughness *** actual roughness measurements,no primary profile exists that does not include a roughness *** the characteristics of GRFs are unknown,it is not yet clear which filter should be used for which primary profile,and this is an issue that has been raised at ISO and JIS *** addition,the establishment of filter selection guidelines is necessary at measurement ***,this paper clarifies the characteristics of GF-series filters,summarizes the points to be considered when using them,and identifies the filter that should be selected according to different *** on the results,a figure that visualizes the characteristics of filters and a flowchart regarding which filter should be used are created;these tools,to the best of the authors’knowledge,did not exist prior to this *** is believed that these results will help fulfil the needs of measuring job sites and also aid in filter selection.

关键词： Surface roughness Gaussian filter Robust filter M-estimation method Fast M-estimation method

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A Proposal of Hyperbolic Fitting Method by Applying the Properties of Functions for Plateau Surface Analysis in ISO 13565-3

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Nanomanufacturing and Metrology 2021年第2期4卷 86-96页

作者： Ryo Sakakibara Ichiro Yoshida Yuki Kondo munetoshi numada Kenichi Yamashita HOSEI University Graduate School 3-7-2 KajinochoKoganei-shiTokyo184-8584Japan Faculty of Science and Engineering HOSEI University3-7-2 KajinochoKoganei-shiTokyo184-8584Japan Faculty of Engineering Chukyo University101-2 YagotohonmachiNagoyaShowa-kuAichi466-8666Japan ISUZU Advanced Engineering Center LTD8 TsuchidanaFujisawa-shiFujisawa-shiKanagawa252-0881Japan

ISO 13565-3 provides an evaluation method for plateau structure surfaces used as sliding surfaces in machine tools and automobile *** evaluation method for plateau structure surfaces of ISO 13565-3 has problems,such as the processing procedure has an ambiguous basis,and the calculation method is not *** existing evaluation method that solves these problems requires the implementation of a difficult *** subsequent evaluation methods,these problems were resolved,and the implementation of complicated calculation algorithms became ***,these methods use algorithms that do not conform to the evaluation method of ISO *** lack of adherence to the ISO standard may hinder their application in the industrial ***,in this study,a new method that conforms to the evaluation method of ISO 13565-3 with a more concise algorithm was *** concluded that this proposed method can contribute to the formation of plateau surfaces and production control in the industrial world.

关键词： Stratified functional properties Plateau surface Surface texture Surface roughness Material probability curve

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A Study on Fast and Robust Vanishing Point Detection System Using Fast M-Estimation Method and Regional Division for In-vehicle Camera

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Journal of Electrical Engineering 2018年第2期6卷 107-115页

作者： Yuki Kondo munetoshi numada Hiroyasu Koshimizu Ichiro Yoshida Faculty of Science and Engineering Hosei University Tokyo 184-8584 Japan Faculty of Engineering Chukyo University Aichi 466-8666 Japan

The vanishing point detection technology helps automatic driving. In this paper, the straight lines on the road associated with the vanishing point are extracted efficiently by using the regional division and angle limitation. And, the vanishing point is detected robustly by using the fast M-estimation method. Proposed method could detect straight-line features associated with vanishing point detection efficient on the road. And the vanishing point was detected exactly by the effect of the fast M-estimation method when the straight-line features not associated with vanishing point detection were detected. The processing time of the proposed method was faster than the camera flame rate （30 fps）. Thus, the proposed method is capable of real-time processing.

关键词： Automatic driving Hough transform fast M-estimation method line detection vanishing point

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