An improved TV caption image binarization method
Mengdi Jiang, Jianghua Cheng, Ming‐Hui Chen, Xishu Ku · Ninth International Conference on Graphic and Image Processing (ICGIP 2017) · 2018
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.