-
公开(公告)号：US20050123198A1
公开(公告)日：2005-06-09
申请号：US10961403
申请日：2004-10-12
CPC分类号： G06K9/325 , G06K2209/01 , H04N1/40062
摘要： Pixels are classified as text; or “non-text” by responding to accumulated luminous brightness gradients within a predetermined pixel interior. Text and non-text image characteristics rest on estimating text-containing rectangles by determining a narrow width and a height of a peak in an interval of accumulated gradients around each pixel. The text characteristics also are inferred by detecting character corners by quantifying and smoothing gradient angles and by associating directional corner responses with each pixel.
摘要翻译： 像素被分类为文字; 或“非文本”，通过响应在预定像素内部的累积的发光亮度梯度。 文本和非文本图像特征依赖于通过确定围绕每个像素的累积梯度的间隔中的峰值的窄宽度和高度来估计包含文本的矩形。 通过量化和平滑梯度角以及通过将方向角响应与每个像素相关联来检测文字角，推断文本特征。
-
公开(公告)号：US07616814B2
公开(公告)日：2009-11-10
申请号：US10961403
申请日：2004-10-12
CPC分类号： G06K9/325 , G06K2209/01 , H04N1/40062
摘要： Pixels are classified as text; or “non-text” by responding to accumulated luminous brightness gradients within a predetermined pixel interior. Text and non-text image characteristics rest on estimating text-containing rectangles by determining a narrow width and a height of a peak in an interval of accumulated gradients around each pixel. The text characteristics also are inferred by detecting character corners by quantifying and smoothing gradient angles and by associating directional corner responses with each pixel.
摘要翻译： 像素被分类为文字; 或“非文本”，通过响应在预定像素内部的累积的发光亮度梯度。 文本和非文本图像特征依赖于通过确定围绕每个像素的累积梯度的间隔中的峰值的窄宽度和高度来估计包含文本的矩形。 通过量化和平滑梯度角以及通过将方向角响应与每个像素相关联来检测文字角，推断文本特征。
-
搜索结果
2 条记录 (耗时 0.011 秒)