针对视频帧图像背景复杂、字体大小变化较大等特点，提出一种改进的视频帧中文本区域定位算法。
Contraposing the characters of images in video, such as complicated backdrop and big diversification of font, this paper proposes an improved algorithm for text region localization in video.
实验表明，该算法可以提取视频帧中90%以上的文本区域，并且文本区域定位准确率达92.0%。
The experiments show that the algorithm can extract more than 90% of text regions contained in video frames and the precision can reach up to 92.0%.
实验结果表明，提出的方法可以快速有效地定位数字图像中的文本区域。
Experimental results showed that the method can rapidly and effectively localize the text region in digital image.
实验表明这种方法计算简单，能快速地定位文本区域，且不受文本颜色、字形等的限制。
The experimental results demonstrate the simplicity and effectivity of the approach, which is free of the restriction of the text color, the text shape, and etc.
实验表明这种方法计算简单，能快速地定位文本区域，且不受文本颜色、字形等的限制。
The experimental results demonstrate the simplicity and effectivity of the approach, which is free of the restriction of the text color, the text shape, and etc.
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