激光与光电子学进展, 2019, 56 (24): 241004, 网络出版: 2019-11-26
基于总变分模型的图片文字干扰消除 
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Elimination of Interferential Text from Images Based on Total Variation Model
图像处理 TV模型 文字检测 文字消除 二值形态学 image processing total variation model text detection text elimination binary morphology
摘要
针对图片中文字对视觉的影响,提出基于TV模型的图片文字干扰消除算法。采用Roberts算子与二值形态学对待处理图片中干扰文字区域进行检测与准确定位,将已确定的干扰文字区域作为TV模型的约束条件进行求解即可有效消除文字的干扰。实验结果表明,该方法可以高效地检测和消除图片中的干扰文字。
Abstract
In this study, a text interference elimination algorithm is proposed based on the total variation (TV) model with respect to the visual influence of the text in an image. Roberts operator and binary morphology are applied to detect and accurately locate the interferential text area in an image. Subsequently, the interferential text can be effectively eliminated by considering the determined interferential text area as the constraint condition of the TV model and solving it. The simulation experiments denote that the proposed method is efficient and practical for the detection and elimination of interferential text from images.
董剑龙, 王浩全. 基于总变分模型的图片文字干扰消除[J]. 激光与光电子学进展, 2019, 56(24): 241004. Jianlong Dong, Haoquan Wang. Elimination of Interferential Text from Images Based on Total Variation Model[J]. Laser & Optoelectronics Progress, 2019, 56(24): 241004.
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