Abstract
This paper presents the information signs compression and classification in vision-based guidance system that apply for Bangkok Train Sky (BTS) virtual blind man tourism navigation system which can have two main roles that first for signs compression and next for signs classification. The algorithms are described here take an advantage of information sign features that their colors and shapes are very different from natural environments. The system are mainly divided into three parts, first for image compression that are proposed the enhanced image coding algorithms called principle component analysis (PCA) plus wavelet transform with system error compensate via vector quantization techniques (VQ). The small bit rates for high-speed data transmission with a small space for data storage are required on Wi-Fi channel. Simultaneously, the peak signal to noise ratio (PSNR) has to be maintained. The shape analysis with a continuous thinning algorithms and image binary data encoding algorithm are used in second part for reduced the sized of data and can be representatives for suitable features data to classify. Finally the back propagation Neural Network (BNN) techniques are used in image recognition and classification the BTS signs. By applying the proposed method, performance has been improved which indicated by lower bit rate and better PSNR, while classify results are satisfied. Some results from the real BTS station scenes are shown that system performance can work well and would be train the virtual blind man guidance to perform some task at that place.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fang, C.Y., et al.: An automatic road sign recognition system based on a computational model of human recognition processing, vol. 96 (November 2004)
Lee, J.-H., Jo, K.-H.: Traffic sign recognition by division of characters and symbols regions. In: Proceeding KOROS 2003, The 7th Korea-Russian International Symposium on Science and Technology, vol. 2, pp. 324–328 (2003)
Li, H., Philip Chen, C.L., Hung, H.-P.: Fuzzy Neural Intelligent Systems. CRC Press LLC, Boca Raton (2001)
Chin-Yuan, L., Chin-Hsing, C.: A Genetic Grey – Based Neural Networks with Wavelet Transform for Search of Optimal codebook. IEICE Trans. Fundamentals e86-a (3), 715–721 (2003)
Gersho, A., Gray, R.M.: Vector Quantization and Signal Compression. Kluwer, Norwell (1992)
Tengcharoen, C., Varakulsiripunth, R., Phanprasit, T., Sanworasil, M.: Stereo Image Compression by Quadrant Vector Quantization. In: IVCNZ 2003 Proceedings, pp. 210–214 (2003)
Antonini, M., Barlaud, M., Mathieu, P., Daubechies, I.: Image Coding Using Wavelet Transform. IEEE Trans. Image Processing 1(2), 205–220 (1992)
Calderbank, R., Daubechiess, I., Sweldens, W., Yeo, B.L.: Wavelet transforms that map integers to integer. Journal of Appl. And Comp. Harmon. Analy. 5, 332–369 (1998)
Calderbank, R., Daubechies, I., Sweldens, W., Yeo, B.-L.: Wavelet transforms that map integers to integers. Journal of Appl. And Comp. Harmon. Analy. 5, 332–369 (1998)
Abadpour, A., Kasaei, S.: An efficient PCA–based color transfer. Visual Communication & Image Representation 18(1), 15–34 (2007)
Abadpour, A., Kasaei, S.: A new PCA–based robust color image Watermarking method. In: The 2nd IEEE Conference on Advancing Technology in the GCC: Challenges, and Solutions, Manama, Bahrain (2004)
Abadpour, A., Kasaei, S.: A new principle component analysis based Colorizing method. In: Proceedings of the 12th Iranian Conference on Electrical Engineering (ICEE 2004), Mashhad, ran (2004)
Trier, D., Jain, A.K., Taxt, T.: Feature extraction methods for character recognition- a survey. Pattern Recognition 29(4), 641–662 (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kantawong, S., Phanprasit, T., Kiattisin, S. (2009). BTS Information Signs Analysis Based on Image Compression and Classification for Virtual Blind Man Multimedia Guidance System. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_110
Download citation
DOI: https://doi.org/10.1007/978-3-642-10467-1_110
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10466-4
Online ISBN: 978-3-642-10467-1
eBook Packages: Computer ScienceComputer Science (R0)