Home About the Journal Latest Work Current Issue Archive Special Issues Editorial Board
<< Previous

2019, 1(2): 240-249

Published Date:2019-4-20 DOI: 10.3724/SP.J.2096-5796.2018.0013

A tactile perception technology of character in digital images


For the blind, it is difficult to appreciate calligraphy. A tactile generation technology of text image is developed, which can enable the blind to recognize text in digital images by tactile recognition. This paper presents a Gauss difference algorithm based on tangential flow of edges, which can extract the contour of text precisely, and get the smooth contour of text with remarkable edge features. A tactile generation algorithm based on five elements is proposed to generate stable and continuous tactile sense for perceiving the contour of text. The experimental results show that through some adaptive training, the blind can better recognize some characters with simple contours, which provides a possibility for tactile appreciation of calligraphy.


Character contour ; Contour extraction ; Haptic rendering

Cite this article

Xinli WU, Jiali LUO, Minxiong ZHANG, Chunyan KANG, Wenzhen YANG. A tactile perception technology of character in digital images. Virtual Reality & Intelligent Hardware, 2019, 1(2): 240-249 DOI:10.3724/SP.J.2096-5796.2018.0013


1. Liu Y J, Yu M J, Fu Q F, Chen W F, Liu Y, Xie L X. Cognitive mechanism related to line drawings and its applications in intelligent process of visual media: A survey. Frontiers of Computer Science, 2016, 10(2): 216–232 DOI:10.1007/s11704-015-4450-1

2. Zhang S. Research and application of edge detection algorithms based on machine vision. Shanghai: Shanghai Jiaotong University, 2013
张少伟. 基于机器视觉的边缘检测算法研究与应用. 上海: 上海交通大学, 2013

3. da Silva R D, Minetto R, Schwartz W R, Pedrini H. Adaptive edge-preserving image denoising using wavelet transforms. Pattern Analysis and Applications, 2013, 16(4): 567–580 DOI:10.1007/s10044-012-0266-x

4. Chai M, Shao T, Wu H, Weng Y, Zhou K. AutoHair: fully automatic hair modeling from a single image. Acm Transactions on Graphics. 2016, 35(4): 1–12 DOI:10.1145/2897824.2925961

5. Zhu X, Chen M, Li X, Zhu Y. A color image edge detection model with morphological amoebas and two kinds of color spaces. Journal of Computer-Aided Design & Computer Graphics, 2014, 26(7): 1060–1066
朱晓临, 陈嫚, 李雪艳, 朱园珠. 结合形态学变形虫和复合颜色空间的彩色图像边缘检测模型. 计算机辅助设计与图形学学报, 2014, 26(7): 1060–1066

6. Quan W, Huang H. Contour extraction of multi-feature orientation preference. Journal of Computer-Aided Design & Computer Graphics, 2018, 30(1): 100–106 DOI:10.3724/SP.J.1089.2018.16227
权威, 黄华. 多特征方向偏好轮廓提取算法. 计算机辅助设计与图形学学报, 2018, 30(1): 100–106

7. Tang Q, Sang N, Liu H, Chen X. Detecting natural image contours by combining visual perception and machine learning. 2013, 43(9): 1124–1135 DOI:10.1360/112012-630
唐奇伶, 桑农, 刘海华, 陈心浩. 视觉感知结合学习的自然图像轮廓检测. 中国科学(信息科学), 2013, 43(9): 1124–1135

8. Knott T C, Kuhlen T W. Accurate and adaptive contact modeling for multi-rate multi-point haptic rendering of static and deformable environments. Computers & Graphics, 2016, 57: 68–80 DOI:10.1016/j.cag.2016.03.007

9. Stanley A A, Okamura A M. Deformable model-based methods for shape control of a haptic jamming surface. IEEE Transactions on Visualization and Computer Graphics, 2017, 23(2): 1029–1041 DOI:10.1109/tvcg.2016.2525788

10. Dervaux F, Peterlik I, Dequidt J, Cotin S, Duriez C. Haptic rendering of interacting dynamic deformable objects simulated in real-time at different frequencies. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2013, 2010-2016 DOI:10.1109/IROS.2013.6696624

11. Yang W, Gao S, Wan H, Zhu Z, Luo Y. Physically-based haptic display of rigid body collisions with virtual hand interaction. Chinese Journal of Computers, 2006, 29(12): 2096–2103 DOI:10.3321/j.issn:0254-4164.2006.12.005
杨文珍, 高曙明, 万华根, 朱振华, 骆阳. 基于物理的虚拟手交互碰撞力觉生成和反馈. 计算机学报, 2006, 29(12): 2096–2103

12. Wu J, Song A, Li J. Research on mass-spring force/deformation modeling for haptic display. Journal of system simulation, 2006, 18(11): 3152–3156 DOI:10.3969/j.issn.1004-731X.2006.11.037
吴涓, 宋爱国, 李建清. 用于虚拟力觉再现的弹簧–质点力/变形模型研究. 系统仿真学报, 2006, 18(11): 3152–3156

13. Zhang L, Wang Y, Wu X. GPU-based expressive line drawing algorithm for volumes. 2014, 44(11), 1385–1397 DOI:10.1360/N112014-00203

14. Kovler I, Joskowicz L, Weil Y A, Khoury A, Kronman A, Mosheiff R, Liebergall M, Salavarrieta J. Haptic computer-assisted patient-specific preoperative planning for orthopedic fractures surgery. International Journal of Computer Assisted Radiology and Surgery, 2015, 10(10): 1535–1546 DOI:10.1007/s11548-015-1162-9