摘要： 提出综合利用视频文字时空、笔画、颜色和几何特征的文字分割算法，快速准确地从复杂背景的视频图像中分割出文字。利用多帧融合进行图像增强，基于笔画宽度特征，使用笔画特征算子提取文字笔画，根据笔画图标注的文字区域建立颜色模型，提取文字颜色层，并用改进的连通域分析法去除文字颜色层中的同色背景和噪声。实验结果表明，该算法比传统算法能更好解决复杂背景的视频文字分割 问题。

关键词: 视频文字识别, 视频文字分割, 笔画提取, 颜色建模

Abstract: This paper presents a segmentation algorithm which comprehensively utilizes various attributes of video texts, such as temporal and spatial, strokes, color, geometric. The algorithm uses multi-frame integration to enhance the images, performs the stroke operator to extract the character strokes based on the feature of the stroke width, analyses the color of the character strokes according to the stroke image and extracts the color layer of the character, removes the background with the same color and noises in the color layer of the character by the improved connected components analysis. Experimental results indicate that the proposed algorithm preferably solves the text segmentation problem which involves in a complex background, and its performance precedes that of the traditional method.

Key words: video OCR, video text segmentation, stroke extraction, color modeling

中图分类号: 

• TP391