基于小波形态学的文本自动检测

Automatic Text Detecting Based on Wavelet and Mathematical Morphology

视频数据中的文本能提供重要的语义信息。论文针对视频中的文本分割问题,提出一种分割方法,用具有良好时频局部和变尺度特性的小波分析方法,提取出纹理清晰、具有不同空间分辨率、不同方向的边缘子图象,然后,用数学形态学的方法对提取出的细节图象进行进一步的形态运算,消除无用的信息,得到最终的文本目标区域。实验表明该方法简单有效,适合于背景较复杂的文本分割。

Text in video can provide important semantic information.In this pape r ,a new segmentation algorithm based on wavelet multiscale analysis and mathemat ical morphology for segmenting text from video frames is presented.By mul-ti-resolution analysis and pyramid decomposition,the edge components with differ ent spatial resolutions and different di-rections can be acquired,among whic h,the detail components have the most distinguished texture features standing f or the object region.Then by further morphological operations,the useless info rmation is greatly decreased and the last ob-ject text region is acquired.Expe riments show that the proposed algorithm can detect text effectively from noisy back-ground.