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Text area localization under complex-background using wavelet decomposition

机译:小波分解在复杂背景下的文本区域定位

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In this paper, we propose a novel approach to determine the positions of text areas in images with complex background using wavelet decomposition and pseudo-motion of images. In our method, a fixed image is translated and provides a sequence of moving images-the pseudomotion sequence of image. In fact, we can consider the translation of an image to be a motion of eyeshot. When an image is translated, its wavelet coefficients will oscillate. From this property, we can locate the text areas in complex-background images. Experiments were conducted to demonstrate the performance of the method In the experiments, we detect the text areas of several different types of characters in images with multi-gray level complex backgrounds.
机译:在本文中,我们提出了一种新颖的方法,利用小波分解和图像的伪运动来确定具有复杂背景的图像中文本区域的位置。在我们的方法中,固定图像被翻译并提供运动图像序列-图像的伪运动序列。实际上,我们可以将图像的平移视为注视运动。平移图像时,其小波系数将振荡。通过此属性,我们可以在复杂背景图像中找到文本区域。进行实验以证明该方法的性能。在实验中,我们在具有多灰度级复杂背景的图像中检测了几种不同类型字符的文本区域。

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