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Computer Artificial Intelligence Algorithms in the Design and Processing of Visual Communication Plane Graphics

Published: 13 August 2021 Publication History

Abstract

The article organically combines adaptive filtering and local threshold binarization, and proposes an adaptive binarization filtering algorithm, which aims to transmit the binary image information of the flat graphic design that is submerged in noise and distortion through filtering. The improved filtering is used to calculate the local threshold, and the filtering result is binarized. Estimate the filtering error according to the result of binarization, and adjust the filter parameters. Experimental results show that the algorithm overcomes the influence of uneven illumination and noise on the binarization of visual communication graphic design, and obtains a more ideal binary image.

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      ICCIR '21: Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics
      June 2021
      807 pages
      ISBN:9781450390231
      DOI:10.1145/3473714
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 13 August 2021

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      Author Tags

      1. Computer artificial intelligence
      2. adaptive filtering
      3. graphic design
      4. image processing
      5. visual communication

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      ICCIR '21 Paper Acceptance Rate 131 of 239 submissions, 55%;
      Overall Acceptance Rate 131 of 239 submissions, 55%

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