Color/mono classification of scanned images

Sungwook Youn; Seong Wook Han; Chulhee Lee

doi:10.1117/12.894988

16 September 2011 Color/mono classification of scanned images

Sungwook Youn, Seong Wook Han, Chulhee Lee

Proceedings Volume 8157, Satellite Data Compression, Communications, and Processing VII; 815709 (2011) https://doi.org/10.1117/12.894988
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Sungwook Youn, Seong Wook Han, and Chulhee Lee "Color/mono classification of scanned images", Proc. SPIE 8157, Satellite Data Compression, Communications, and Processing VII, 815709 (16 September 2011); https://doi.org/10.1117/12.894988

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