DOI QR코드

DOI QR Code

Proposal of Image Detection Algorithm to Implement Hand Gestures

  • Received : 2018.12.07
  • Accepted : 2018.12.26
  • Published : 2018.12.31

Abstract

This paper proposes an image detection algorithm to implement gesture. By using a camera sensor, the performance of the extracted image algorithm based on the gesture pattern was verified through experiments. In addition, through the experiments, we confirmed the proposed method's possibility of the implementation. For efficient image detection, we applied a segmentation technique based on image transition which divides into small units. To improve gesture recognition, the proposed method not only has high recognition rate and low false acceptance rate in real gesture environment, but also designed an algorithm that efficiently finds optimal thresholds that can be applied.

Keywords

JGGJB@_2018_v22n4_1222_f0001.png 이미지

Fig. 1. Original image.

JGGJB@_2018_v22n4_1222_f0002.png 이미지

Fig. 2. Binarization image.

JGGJB@_2018_v22n4_1222_f0003.png 이미지

Fig. 3. Distribution chart of original image.

JGGJB@_2018_v22n4_1222_f0004.png 이미지

Fig. 4. Proposed algorithm’s total flowchart.

JGGJB@_2018_v22n4_1222_f0005.png 이미지

Fig. 5. Proposed image color segmentation and threshold calculation.

References

  1. Ramos, Gonzalo & Balakrishnan, Ravin, "Zliding: Fluid zooming and sliding for high precision parameter manipulation," UIST: Proceedings of the Annual ACM Symposium on User Interface Software and Technology, pp.143-152, 2005. DOI:10.1145/1095034.1095059
  2. R. C. Gonzalez, Digital Image Processing (2nd edition), Prentice Hall, 2002.
  3. Jian Gong, Liyuan Li, Weinan Chen, "Fast recursive algorithms for two-dimensional thresholding," Pattern Recognition, Vol.31, No.3, pp.295-300, 1998. DOI:10.1016/S0031-3203(97)00043-5
  4. Cheng-Chia Chang, Ling-Ling Wang, "A fast multilevel thresholding method based on lowpass and highpass filtering," Pattern Recognition Letters, Vol.18, No.14, pp.1469-1478, 1997. DOI:10.1016/S0167-8655(97)00134-7
  5. Du-Ming Tsai, "A fast thresholding selection procedure for multimodal and unimodal histograms," Pattern Recognition Letters, Vol.16, No.6, pp, 653-656, 1995. DOI:10.1016/0167-8655(95)80011-H
  6. Xue-Jing Wu, Yi-Jun Zhang, Liang-Zheng Xia, "A fast recurring two-dimensional entropic thresholding algorithm," Pattern Recognition, Vol.32, No.12, pp.2055-2061, 1999. DOI:10.1016/S0031-3203(97)00158-1
  7. C.H. Li, P.K.S. Tam, "An iterative algorithm for minimum cross entropy thresholding," Pattern Recognition Letters, Vol.19, No.8, pp.771-776, 1998. DOI:10.1016/S0167-8655(98)00057-9
  8. Bing-Fei WU, Yen-Lin CHEN, Chung-Cheng CHIU, "A Discriminant Analysis Based Recursive Automatic Thresholding Approach for Image Segmentation," IEICE TRANSACTIONS on Information and Systems, Vol. E88-D, No.7, pp. 1716-1723, 2005. DOI:10.1093/ietisy/e88-d.7.1716
  9. Kwan-Ho Lin, Kin-Man Lam, Wan-Chi Siu, "Spatially eigen-weighted Hausdorff distances for human face recognition," Pattern Recognition, Vol. 36, No. 8, pp.1827-1834, 2003. DOI:10.1016/S0031-3203(03)00011-6
  10. Gyu-Hee Park, Hwa-Hyun Cho, Myung-Ryul Choi, "A contrast enhancement method using dynamic range separate histogram equalization," IEEE Transactions on Consumer Electronics, Vol.54, No.4, pp.1981-1987, 2008. DOI:10.1109/TCE.2008.4711262