Abstract
According to the sense characteristic of image with human eyes, a new method is proposed in this paper. By this method, an image can be transfer to a sensory image which can produce rapid attention to visual. Firstly, a sensory threshold is set, the image is selected and segmented, and a sensory imge with only a few key points, which can show the characteristic change of image, is produced. Secondly, a function to fuse sensory image is given, and a sensory gray wave is formed. Finially, a trend coefficient is used to decrease the error produced by gray wave extraction. Experiments prove that this new method can transfer image better and more successfully.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Wang, F., Jiao, G., Du, H.: Method of Fabric Defects Detection Based on Mathematical Morphology. Journal of Test and Measurement Technology 6, 515–518 (2007)
Zhou, C., Zhu, D., Xiao, L.: Textural defect detection based on label co-occurrence matrix. Journal of Huazhong University of Science and Technology 6, 25–28 (2006)
Liu, J., Zuo, B.: Application of BP nenral network on the idendification of fabric defects. Journal of Textile Research 9, 43–46 (2008)
Arunkumar, G.H.S., Eric, F.: Statistical approach to unsupervised defect detection and multiscale localization in two-texture images. Optical Engineering 2, 20–27 (2008)
Kuo, C.-F.J., Shih, C.-Y., et al.: Automatic Recognition of Fabric Weave Patterns by a Fuzzy C-Means Clustering Method. Textile Research Journal 2, 107–111 (2004)
Shen, Y., Liu, C., Wang, Z.: Defect detection of CMOS camera based on local entropy. Computer Engineering and Application 20, 71–73 (2009)
Kuo, C.-F.J., Chang, C.-D., et al.: Intelligence Control of On-line Dynamic Gray Cloth Inspecting Machine System Module Design. Fibers and Polymers 3, 394–402 (2009)
Tsai, D.-M., Kuo, C.-C.: Defect detection in inhomogeneously textured sputtered surfaces using 3D Fourier image reconstruction. Machine Vision and Applications 6, 383–400 (2007)
Mak, K.L., Peng, P.: An automated inspection system for textile fabrics based on Gabor filters. Robotics and Computer-Integrate Manufacturing 6, 359–369 (2008)
Li, L., Huang, X.: Realization of Orthogonal Wavelets Adapted to Fabric Texture for Defect Detection. Journal of Donghua University 2, 77–81 (2002)
Liu, Z.: Feature model of fabrics irregular defect. Key Engineering Materials 1, 566–571 (2001)
Liu, Z., Wang, X.: Image defect recognition based on super fuzzy characteristic. Journal of Multimedia 2, 181–188 (2010)
Wang, X., Liu, Z.: Pre-judgment model of image based on gray distribution wave. Applied Mechanics and Materials 6, 155–160 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, Z., Wang, X. (2011). Construction of Gray Wave for Dynamic Fabric Image Based on Visual Attention. In: Jin, D., Lin, S. (eds) Advances in Multimedia, Software Engineering and Computing Vol.1. Advances in Intelligent and Soft Computing, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25989-0_92
Download citation
DOI: https://doi.org/10.1007/978-3-642-25989-0_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25988-3
Online ISBN: 978-3-642-25989-0
eBook Packages: EngineeringEngineering (R0)