1. 太原工业学院教务处
2. 中北大学仪器科学与动态测试教育部重点实验室&电子测试技术重点实验室
纸质出版:2019
移动端阅览
[1]董剑龙,王浩全.基于图像分解的复杂图片中文字干扰消除[J].新疆大学学报(自然科学版),2019,36(03):330-334.
[1]董剑龙,王浩全.基于图像分解的复杂图片中文字干扰消除[J].新疆大学学报(自然科学版),2019,36(03):330-334. DOI: 10.13568/j.cnki.651094.2019.03.011.
DOI:10.13568/j.cnki.651094.2019.03.011.
针对复杂图片中文字对视觉的干扰
通过图像分解对其结构分量与纹理分量进行分离
结构分量中的文字干扰采用TV模型对其进行消除
纹理分量中的文字干扰运用Laplacian算子对所在区域进行定位
再用Criminisi算法对其有效消除.仿真结果表明
该方法对复杂图片中文字的干扰消除高效实用.
For the visual interference of text in complex images
the structural components and texture components are separated by image decomposition. The text interference in structural components is eliminated by TV model. The Laplacian operator is used to locate the region where the text interference is
and then we effectively eliminate it with the Criminisi algorithm. The simulation results show that the method is effective for eliminating the interference of texts in complex images.
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