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Image Tactile Perception with an Improved JSEG Algorithm

Volume 14, Number 1, January 2018, pp. 77-88
DOI: 10.23940/ijpe.18.01.p9.7788

Wenzhen Yanga, Jiali Luoa, Xinli Wua, Xin Lia, Zhaona Jianga, Zhigeng Panb,c

aVirtual Reality Laboratory Zhejiang Sci-Tech University, Hangzhou, 310018, China
bHangzhou Normal University, Hangzhou, 311121, China
cGuangzhou NINED Digital Technology Co., Ltd., 511000, China

(Submitted on October 20, 2017; Revised on November 23, 2017; Accepted on December 7, 2017)

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.

 

References: 15

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15. W. Yu, S. Brewster. "Evaluation of Multimodal Graphs for Blind People." Universal Access in the Information Society, 2003, 2(2):105-124.

 

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