摘要
提出了一种基于CDF9-7小波和自适应Otsu算法的视频图像字幕分割算法。首先从视频中截取视频图像,并对其进行灰度化等预处理,其次对预处理后的图像进行CDF9-7小波变换,获取其水平和垂直的高频分量HH,然后使用自适应Otsu算法分割出该高频分量图像中的字幕区域。实验表明,该算法分割效果良好,具有一定的鲁棒性和自适应性。以这些区域为基础,可以进一步完成诸如视频字幕识别等图像分析、理解和识别操作。
A video image subtitle segmentation algorithm based on CDF9-7 wavelet and adaptive Otsu algorithm is proposed in this paper. First,a video image is extracted from the video stream,its pretreatment such as graying is made,the pretreated image′s horizontal and vertical high-frequency component HH is obtained by CDF9-7 wavelet transformation,and then the image subtitle regions in the high frequency component image are segmented by using adaptive Otsu algorithm. Experiments show that the method works well and has a certain robustness and adaptability. Based on these regions,further image analysis,understand-ing and recognition tasks such as video subtitle recognition can be achieved.
出处
《现代电子技术》
2014年第9期50-52,共3页
Modern Electronics Technique
基金
陕西省教育厅专项科研计划项目(11JK1025)
