News Video Text Segmentation Algorithm Based on Gradient Reinforcement

In the news video retrieval system based on the semantics,text segmentation is an important part.In this paper,an improved text segmentation algorithm based on gradient reinforcement is proposed for news video.Compared with the classical adaptive approaches,the standard deviation of a text image is replaced with the weighted gradient sum of a text image.The weights of special directions can be adjusted to enhance the edge of texts and get better segmentation results;most of the strokes can be reserved.The effect of our algorithm can also be proved by the optical character recognition results.