Reducing Image Size and Noise Removal in Fast Object Detection using Wavelet Transform Neural Network

Subject Areas : robotics

mahmoud jeddi ¹ , Ahmad Khoogar ² , Ali Mehdipoor Omrani ³

1 - university complex of materials and manufacturing technology,Malek Ashtar university of technology,Tehran,Iran
2 - Department of Mechanical Engineering Maleke Ashtar University of Technology
3 - Departement Of Mechanical Engineering, Malek Ashtar university of Technology, Lavizan, Iran

Received: 2020-02-27 Accepted : 2020-05-20 Published : 2020-06-01

Keywords:

References:

[1]     Rojas, R. He. J, Guan, Y., A 3D Object Detection And Pose Estimation Pipeline Using RGB-D Images, IEEE International Conference on Robotics and Biomimetics ROBIO, 2017, pp. 1527–1532.

[2]     Mallat, S., A Wavelet Tour of Signal Processing, Elsevier, the Sparse Way, 3^rd Edition, 2008, pp. 270-320, 9780123743701.

[3]     Verschae, R., Ruiz, D. S., Object Detection: Current And Future Directions, Front. Robot. AI, Vol. 2, 2015 pp. 29.

[4]     Ruiz, L. A., Fdez-Sarria, A., and Recio, J. A., Texture feature Extraction for Classification of Remote Sensing Data Using Wavelet Decomposition: A Comparative Study, in 20th ISPRS Congress, Vol. 35, No. part B, 2004, pp. 1109–1114.

[5]     Oren, M. C., Papageorgiou, P., Sinha, Osuna, E., and Poggio., T., Pedestrian Detection Using Wavelet Templates, in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997, pp. 193–199.

[6]     Starck, J. L., Elad, M., and Donoho, D. L., Image Decomposition via the Combination of Sparse Representations and a Variational Approach, IEEE Trans. Image Process., Vol. 14, No. 10, 2005, pp. 1570–1582.

[7]     Calderbank, A. R., Daubechies, I., Sweldens, W., and Yeo, B. L., Lossless Image Compression Using Integer To Integer Wavelet Transforms, in Proceedings of International Conference on Image Processing, Vol. 1, 1997, pp. 596–599.

[8]     Ellinas, J. N., Sangriotis, M. S., Stereo Image Compression Using Wavelet Coefficients Morphology, Image Vis. Comput., Vol. 22, No. 4, 2004, pp. 281–290.

[9]     Lalonde, M., Beaulieu, M., and Gagnon, L., Fast and Robust Optic Disc Detection Using Pyramidal Decomposition and Hausdorff-Based Template Matching, IEEE Trans. Med. Imaging, Vol. 20, No. 11, 2001, pp. 1193–1200.

[10]  Yap, V. V., Wavelet-Based Image Compression for Mobile Applications, Ph.D. Dissertation, Middlesex University, School of Computing Science, 2005, pp. 66-120.

[11]  Vimala, C., Priya, P. A., Artificial Neural Network Based Wavelet Transform Technique for Image Quality Enhancement, Comput. Electr. Eng., Vol. 76, 2019, pp. 258–267.

[12]  Strang, G., Nguyen, T., Wavelets and Filter Banks, SIAM, Well Cambridge Press, USA, 1996, pp. 425-440.

[13]  Azzalini, A., Farge, M., and Schneider, K., Nonlinear Wavelet Thresholding: a Recursive Method to Determine the Optimal Denoising Threshold, Appl. Comput. Harmon. Anal., Vol. 18, No. 2, 2005, pp. 177–185.

[14]  Avci, E., An Expert System Based on Wavelet Neural Network-Adaptive Norm Entropy for Scale Invariant Texture Classification, Expert Syst. Appl., Vol. 32, No. 3, 2007, pp. 919–926.

[15]  Parker, J. R., Algorithms for Image Processing and Computer Vision, John Wiley & Sons, second Edition, USA, 2010, pp. 425-440, 978-0-470-64385-3.

[16]  Subha, P., Automatic Feature Based Image Registration using DWT and SIFT, Int. J. Eng. Sci. Comput., Vol. 10, No. 2321–3361, 2014, pp. 454–457.

[17]  Haralick, R. M., and Shapiro, L. G., Computer and Robot Vision, Vol. 1. Addison-wesley Reading, 1992.

[18]  Ding, S., Zhang, J., Xu , X., and Zhang, Y., A Wavelet Extreme Learning Machine, Neural Comput. Appl., Vol. 27, No. 4, 2016, pp. 1033–1040.