• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Imaging Science and Technology >An Adaptive Binarization Method for Cost-efficient Document Image System in Wavelet Domain
【24h】

An Adaptive Binarization Method for Cost-efficient Document Image System in Wavelet Domain

机译：小波域中成本高效文档图像系统的自适应二值化方法

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In recent years, the preservation of handwritten historical documents and scripts archived by digitized images has been gradually emphasized. However, the selection of different thicknesses of the paper for printing or writing is likely to make the content of the back page seep into the front page. In order to solve this, a cost-efficient document image system is proposed. In this system, the authors use Adaptive Directional Lifting-Based Discrete Wavelet Transform to transform image data from spatial domain to frequency domain and perform on high and low frequencies, respectively. For low frequencies, the authors use local threshold to remove most background information. For high frequencies, they use modified Least Mean Square training algorithm to produce a unique weighted mask and perform convolution on original frequency, respectively. Afterward, Inverse Adaptive Directional Lifting-Based Discrete Wavelet Transform is performed to reconstruct the four subband images to a resulting image with original size. Finally, a global binarization method, Otsu's method, is applied to transform a gray scale image to a binary image as the output result. The results show that the difference in operation time of this work between a personal computer (PC) and Raspberry Pi is little. Therefore, the proposed cost-efficient document image system which performed on Raspberry Pi embedded platform has the same performance and obtains the same results as those performed on a PC. (C) 2020 Society for Imaging Science and Technology.
机译：近年来，逐渐强调了数字化图像存档的手写历史文档和脚本的保存。然而，用于打印或写入的纸张的不同厚度的选择可能会使后页的内容渗入前页。为了解决这一点，提出了一种成本效益的文档图像系统。在该系统中，作者使用自适应定向升降的离散小波变换来将图像数据从空间域转换为频域并分别执行高频率和低频。对于低频，作者使用本地阈值来删除大多数背景信息。对于高频，它们使用修改的最小均方培训算法来产生唯一的加权掩码并分别对原始频率进行卷积。之后，执行逆自适应方向升降的离散小波变换，以将四个子带图像重构为具有原始尺寸的得到的图像。最后，施加全局二值化方法，OTSU的方法，用于将灰度图像转换为二进制图像作为输出结果。结果表明，个人计算机（PC）和覆盆子PI之间这项工作的操作时间差异很少。因此，在Raspberry PI嵌入式平台上执行的所提出的成本效益文件图像系统具有相同的性能，并获得与PC上执行的结果相同的结果。 （c）2020年影像科技协会。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号