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RISS 인기검색어
- 검색키워드
- 저자 : Suping Fang (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
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Research on the Compensation Method for the Measurement Error of Cycloidal Gear Tooth Flank
Suping Fang,Yongsheng Liu,Huiyi Wang,Tetsuya Taguchi,Ryohei Takeda 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.
In the precision measurement of the tooth flank of cycloidal gear, there are many reasons that affect the measurement accuracy. Amongthe reasons, the alignment angle error of the gear axis play an important role in the measurement results of the profile and tooth tracedeviations of the tooth flank. According to the measurement theory of the cycloidal gear, the mathematics model of the tooth flankis established. Based on the measurement process of the profile and tooth trace deviations by the gear measuring machine, acompensation method for the alignment angle error of the gear axis that included in the measurement results is designed. Somesimulation experiments were done to verify the proposed method. Experimental results show that after compensation, the alignmentangle error of the gear axis reduces significantly, more than 80% of the alignment angle error in profile deviation and more than 74%of the alignment angle error in tooth trace deviation is compensated by the method. The proposed method is helpful to improve themeasurement accuracy of the cycloidal gear.
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Xian Wang,Suping Fang,Xindong Zhu,Jing Ji,Pengcheng Yang,Masaharu Komori,Aizoh Kubo 한국광학회 2017 Current Optics and Photonics Vol.1 No.6
The extraction of the valid measurement region from the interference fringe pattern is a significant stepwhen measuring gear tooth flank form deviation with grazing incidence interferometry, which will affectthe measurement accuracy. In order to overcome the drawback of the conventionally used method in whichthe object image pattern must be captured, an improved segmentation approach is proposed in this paper. The interference fringe patterns feature, which is smoothed by the nonlinear diffusion, would be extractedby the structure tensor first. And then they are incorporated into the vector-valued Chan-Vese model toextract the valid measurement region. This method is verified in a variety of interference fringe patterns,and the segmentation results show its feasibility and accuracy.
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Colour Linear Array Image Enhancement Method with Constant Colour
Jing Ji,Suping Fang,Zhiqiang Chen 한국광학회 2022 Current Optics and Photonics Vol.6 No.3
Digital images of cultural relics captured using line scan cameras present limitations due to uneven intensity and low contrast. To address this issue, this report proposes a colour linear array image enhancement method that can maintain a constant colour. First, the colour linear array image is converted from the red–green–blue (RGB) colour space into the hue–saturation–intensity colour space, and the three components of hue, saturation, and intensity are separated. Subsequently, the hue and saturation components are held constant while the intensity component is processed using the established intensity compensation model to eliminate the uneven intensity of the image. On this basis, the contrast of the intensity component is enhanced using an improved local contrast enhancement method. Finally, the processed image is converted into the RGB colour space. The experimental results indicate that the proposed method can significantly improve the visual effect of colour linear array images. Moreover, the objective quality evaluation parameters are improved compared to those determined using existing methods.
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