參考文獻 |
[1] R. Maini and H. Aggarwal, "Study and comparison of various image edge detection techniques", International journal of image processing, vol. 3, no. 1, pp. 1-12, 2009.
[2] J.-H. Li, W.-H. Wang, T.-T. Rao, W.-B. Zhu, and C.-J. Liu, "Morphological segmentation of 2-D barcode gray scale image", International Conference on Information System and Artificial Intelligence, pp. 62-68, 2016.
[3] M. Katona and L. G. Nyúl, "A novel method for accurate and efficient barcode detection with morphological operations", 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems, pp. 307-314, 2012.
[4] M. Basu, "Gaussian-based edge-detection methods-a survey", IEEE Transactions on Systems, Man, Cybernetics, Part C, vol. 32, no. 3, pp. 252-260, 2002.
[5] G. Deng and L. Cahill, "An adaptive Gaussian filter for noise reduction and edge detection", Nuclear Science Symposium and Medical Imaging Conference, 1993., 1993 IEEE Conference Record., pp. 1615-1619, 1993.
[6] R. M. Haralick, "Statistical and structural approaches to texture", Proceedings of the IEEE, vol. 67, no. 5, pp. 786-804, 1979.
[7] A. Padma and R. Sukanesh, "Automatic classification and segmentation of brain tumor in CT images using optimal dominant gray level run length texture features", International Journal of Advanced Computer Science and Applications, vol. 2, no. 10, 2011.
[8] J. Mao and A. K. Jain, "Texture classification and segmentation using multiresolution simultaneous autoregressive models", Pattern recognition, vol. 25, no. 2, pp. 173-188, 1992.
[9] M. K. Bashar, T. Matsumoto, and N. Ohnishi, "Wavelet transform-based locally orderless images for texture segmentation", Pattern Recognition Letters, vol. 24, no. 15, pp. 2633-2650, 2003.
[10] H. Hu, W. Xu, and Q. Huang, "A 2D barcode extraction method based on texture direction analysis", Image and Graphics, 2009. ICIG′09. Fifth International Conference on, pp. 759-762, 2009.
[11] M. Katona and L. G. Nyúl, "Efficient 1D and 2D barcode detection using mathematical morphology", International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, pp. 464-475, 2013.
[12] Y. Kimori, "Mathematical morphology-based approach to the enhancement of morphological features in medical images", Journal of clinical bioinformatics, vol. 1, no. 1, p. 33, 2011.
[13] Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition", Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, 1998.
[14] N. N. Ventsov and L. A. Podkolzina, "Localization of Barcodes Using Artificial Neural Network", 2018 IEEE East-West Design & Test Symposium, pp. 1-6, 2018.
[15] C. Ching-Han, L. Ming-Yi, and X.-C. Guo, "High-level modeling and synthesis of smart sensor networks for Industrial Internet of Things", Computers & Electrical Engineering, vol. 61, pp. 48-66, 2017.
[16] J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You only look once: Unified, real-time object detection", Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 779-788, 2016.
[17] H.-R. Zheng, L.-R. Xiong, and T.-Z. Wang, "Two dimensional barcode image adjustment based on Hough transform", Journal of Zhejiang University of Technology, vol. 31, no. 2, pp. 169-172, 2003.
[18] D.-H. Hu, H. Tan, and X.-M. Chen, "The application of Radon transform in 2D barcode image recognition", JOURNAL-WUHAN UNIVERSITY NATURAL SCIENCES EDITION vol. 51, no. 5, p. 584, 2005.
[19] D. H. Ballard, "Generalizing the Hough transform to detect arbitrary shapes", Pattern recognition, vol. 13, no. 2, pp. 111-122, 1981.
[20] H. Kälviäinen, P. Hirvonen, and E. Oja, "Houghtool—a software package for the use of the Hough transform", Pattern Recognition Letters, vol. 17, no. 8, pp. 889-897, 1996.
[21] F. Liu, A. Liu, M. Wang, and Z. Yang, "Robust and fast localization algorithm for data matrix barcode", Optoelectronics and Image Processing (ICOIP), 2010 International Conference on, vol. 2, pp. 356-359, 2010.
[22] A. Sun, Y. Sun, and C. Liu, "The QR-code reorganization in illegible snapshots taken by mobile phones", 2007 International Conference on Computational Science and its Applications (ICCSA 2007), pp. 532-538, 2007.
[23] Y.-H. Chang, C.-H. Chu, and M.-S. Chen, "A General Scheme for Extracting QR Code from a non-uniform background in Camera Phones and Applications", Ninth IEEE International Symposium on Multimedia (ISM 2007), pp. 123-130, 2007.
[24] E. Ouaviani, A. Pavan, M. Bottazzi, E. Brunelli, F. Caselli, and M. Guerrero, "A common image processing framework for 2D barcode reading", 1999.
[25] P. K. Sahoo, S. Soltani, and A. K. Wong, "A survey of thresholding techniques", Computer vision, graphics, image processing, vol. 41, no. 2, pp. 233-260, 1988.
[26] C. R. Jung and R. Schramm, "Rectangle detection based on a windowed Hough transform", Proceedings. 17th Brazilian Symposium on Computer Graphics and Image Processing, pp. 113-120, 2004.
[27] E. Ohbuchi, H. Hanaizumi, and L. A. Hock, "Barcode readers using the camera device in mobile phones", 2004 international conference on cyberworlds, pp. 260-265, 2004.
[28] X. J. Juett and X. Qi, "Barcode localization using bottom-hat filter", NSF Research Experience for Undergraduates, vol. 8, 2005.
[29] R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation", Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 580-587, 2014.
[30] A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks", Advances in neural information processing systems, pp. 1097-1105, 2012.
[31] J. R. Uijlings, K. E. Van De Sande, T. Gevers, and A. W. J. I. j. o. c. v. Smeulders, "Selective search for object recognition", vol. 104, no. 2, pp. 154-171, 2013.
[32] R. Girshick, "Fast r-cnn", Proceedings of the IEEE international conference on computer vision, pp. 1440-1448, 2015.
[33] S. Ren, K. He, R. Girshick, and J. Sun, "Faster r-cnn: Towards real-time object detection with region proposal networks", Advances in neural information processing systems, pp. 91-99, 2015.
[34] R. J. Mayer, "IDEF0 function modeling", A Reconstruction of the Original Air Force Wright Aeronautical Laboratory Technical Report, AFWAL-TR-81- , Knowledge-Based System Inc, College Station, TX, 1992. |