基于文字穿越线和笔画连通性的 视频文字提取方法

 视频文字自动提取对提高视频内容的整体理解程度具有重要意义.在复杂背景下,现有提取方法难以稳健地定位文字和有效抑制背景干扰.我们提出一种复杂背景下稳健的视频文字提取方法,首先利用小波变换和非监督聚类方法获得候选文字区域;其次,引入穿越线及其幅度谱概念,通过提取穿越线特征进行聚类定位单行文字;最后,充分考虑到文字笔画的连通性,引入重线概念,通过检测重线获取文字像素关键点,从关键点出发进行区域生长,结合启发式规则,完成二值化过程.实验表明,该方法能够在复杂背景下得到较理想的文字二值化图像,不受文字颜色、字体、大小等因素的影响,性能优于文献7]和文献8]提出的方法.

An Approach for Video-text Extraction Based on Text Traversing Line and Stroke Connectivity

Automatic video-text extraction is an important field in video content comprehension.In complex background,conventional extraction methods can not robustly locate text nor eliminate interference from background.A robust video-text extraction method is proposed in this letter.First,an unsupervised paradigm based on wavelet is applied to obtain candidate text region.Second,traversing line and its aptitude spectrum is introduced,and text refinement is carried out by extracting traversing line features.At the e...