Watershed Based Document Image Analysis

Author:

Shadkami Pasha,Bonnier Nicolas

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Chuai-aree, S., Lursinsap, C., Sophatsathit, P., Siripant, S.: Fuzzy c-mean: A statistical feature classification of text and image segmentation method. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(6), 661–671 (2001)

2. Gupta, P., Vohra, N., Chaudhury, S., Joshi, S.D.: Wavelet based page segmentation. In: Proc. Indian Conf. on Computer Vision, Graphics and Image Processing, pp. 51–56 (2000)

3. Journet, N., Ramel, J.Y., Mullot, R., Eglin, V.: Document image characterization using a multiresolution analysis of the texture: application to old documents. International Journal on Document Analysis and Recognition 11(1), 9–18 (2008)

4. Li, J., Gray, R.M.: Text and picture segmentation by the distribution analysis of wavelet coefficients. In: Proceedings of International Conference on Image Processing, vol. 3, pp. 790–794 (October 1998)

5. Nakamura, K., Jiang, H., Yamamoto, S., Itoh, T.: Document image segmentation into text, continuous-tone and screened-halftone region by the neural networks. In: IAPR Workshop on Machine Vision Application (12-14), pp. 450–453 (November 1996)

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