Color/mono classification of scanned images

Sungwook Youn, Seong Wook Han, Chul Hee Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a new algorithm for color/mono classification of scanned images. During the scanning process, various artifacts were produced by scanner sensors. These artifacts made it difficult to design a classifier for color/mono classification. The proposed algorithm utilized a pixel color index that reflected pixel colorfulness. For each pixel in the scanned image, its neighboring block was extracted and the pixel color index was computed using the neighboring block in the RGB space. To compute the pixel color index, we determined whether the center pixel had homogeneous neighbors or not. If the center pixel had homogeneous neighbors, the pixel color index was calculated by averaging the achromatic distances of the homogeneous neighbors. If the maximum value of the pixel color indexes in an image was larger than the given threshold, the image was classified as a color document.

Original languageEnglish
Title of host publicationSatellite Data Compression, Communications, and Processing VII
Volume8157
DOIs
Publication statusPublished - 2011 Oct 17
EventSatellite Data Compression, Communications, and Processing VII - San Diego, CA, United States
Duration: 2011 Aug 232011 Aug 24

Other

OtherSatellite Data Compression, Communications, and Processing VII
CountryUnited States
CitySan Diego, CA
Period11/8/2311/8/24

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Youn, S., Han, S. W., & Lee, C. H. (2011). Color/mono classification of scanned images. In Satellite Data Compression, Communications, and Processing VII (Vol. 8157). [815709] https://doi.org/10.1117/12.894988