Image Tactile Perception with an Improved JSEG Algorithm

doi:10.23940/ijpe.18.01.p9.7788

Abstract

Abstract:

Image tactile interaction is a new interaction method between human and digital images, allowing users to know digital images by touch. In order to improve the authenticity of image tactile perception, this paper proposes a tactile perception model based on image region features. Aiming at the phenomenon of over-partitioning and computational complexity of JSEG algorithm, we propose an improved JSEG algorithm, which can effectively reduce the computational complexity, divide the image areas which are more in line with the subjective visual judgment, and can be used for region-based image tactile generation. The experimental results show that the proposed algorithm can correctly distinguish the image area and improve the accuracy of image tactile perception.

Submitted on October 20, 2017; Revised on November 23, 2017; Accepted on December 7, 2017
References: 15

Wenzhen Yang, Jiali Luo, Xinli Wu, Xin Li, Zhaona Jiang, and Zhigeng Pan. Image Tactile Perception with an Improved JSEG Algorithm [J]. Int J Performability Eng, 2018, 14(1): 77-88.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

References 0

	1. G. Campion, A. H. C. Gosline, and V. Hayward. "Passive Viscous Haptic Textures." International Symposium on Haptic Interfaces for Virtual Environment & Teleoperator Systems IEEE, 2008:379-380.
	2. K. Y. Chan, K. Kitagawa, R. Manduchi. "Experiments in Planar Haptic Contour Exploration." Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. IEEE Computer Society, 2007:604-606.
	3. S. Choi , H. Z. Tan. "An Analysis of Perceptual Instability During Haptic Texture Rendering." Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. IEEE Computer Society, 2002:129.
	4. Y. Deng, C. Kenney, M. S. Moore, et al. "Peer Group Filtering and Perceptual Color Image Quantization.", 1999.
	5. Y. Deng, B. S. Manjunath. "Unsupervised Segmentation of Color-texture Regions in Images and Video." IEEE Transactions on Pattern Analysis & Machine Intelligence, 2001, 23(8):800-810.
	6. Y. Guo , A. ?engür. "A Novel Image Edge Detection Algorithm Based on Neutrosophic Set ." Computers & Electrical Engineering, 2014, 40(8):3-25.
	7. B. L. Mercier , A. Kheddar. "A Simple Way of Integrating Texture in Virtual Environments for Haptic Rendering." International Conference on Advanced Robotics, 2005. Icar '05. Proceedings. IEEE, 2005:755-760.
	8. B. L. Mercier, A. Kheddar. "Texture Computer Haptics from Graphic Texture Mapping.", 2005.
	9. S. Rasool, A. Sourin, "Image-Driven Haptic Rendering. Transactions on Computational Science XXIII." Springer Berlin Heidelberg, 2014:58-77.
	10. A. Steven, "An Investigation of Temporal and Spatial Limitations of Haptic Devices." University of Reading , 2000.
	11. N. Somrang, N. Chotikakamthorn. "Interactive Haptic Simulation of Dental Plaque Removal." Communications & Information Technologies. iscit.international Symposium on, 2006:319-322.
	12. H. Vasudevan, and M. Manivannan. "Tangible Images: Runtime Generation of Haptic Textures From Images." Symposium on Haptic Interfaces for Virtual Environment & Teleoperator Systems IEEE, 2008:357-360.
	13. P. S. P. Wang, and Jianwei Yang. "A Review of Wavelet-based Edge Detection Methods." International Journal of Pattern Recognition & Artificial Intelligence 26.07(2013):1255011-1255011-25.
	14. S. Wesolkowski, and P. Fieguth. "Color Image Segmentation Using a Region Growing Method." ,2001.
	15. W. Yu, S. Brewster. "Evaluation of Multimodal Graphs for Blind People." Universal Access in the Information Society, 2003, 2(2):105-124.