An improved TV caption image binarization method

Mengdi Jiang; Jianghua Cheng; Minghui Chen; Xishu Ku

doi:10.1117/12.2305343

10 April 2018 An improved TV caption image binarization method

Mengdi Jiang, Jianghua Cheng, Minghui Chen, Xishu Ku

Author Affiliations +

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106151O (2018) https://doi.org/10.1117/12.2305343
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

TV Video caption image binarization has important influence on semantic video retrieval. An improved binarization method for caption image is proposed in this paper. In order to overcome the shortcomings of ghost and broken strokes problems of traditional Niblack method, the method has considered the global information of the images and the local information of the images. First, Tradition Otsu and Niblack thresholds are used for initial binarization. Second, we introduced the difference between maximum and minimum values in the local window as a third threshold to generate two images. Finally, with a logic AND operation of the two images, great results were obtained. The experiment results prove that the proposed method is reliable and effective.

Citation Download Citation

Mengdi Jiang, Jianghua Cheng, Minghui Chen, and Xishu Ku "An improved TV caption image binarization method", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106151O (10 April 2018); https://doi.org/10.1117/12.2305343

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