Automatic recognition of light source from color negative films using sorting classification techniques

Demas S.E.F. Sanger; Hideaki Haneishi; Yoichi Miyake

doi:10.1117/12.217399

22 August 1995 Automatic recognition of light source from color negative films using sorting classification techniques

Demas S.E.F. Sanger, Hideaki Haneishi, Yoichi Miyake

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217399
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

This paper proposed a simple and automatic method for recognizing the light sources from various color negative film brands by means of digital image processing. First, we stretched the image obtained from a negative based on the standardized scaling factors, then extracted the dominant color component among red, green, and blue components of the stretched image. The dominant color component became the discriminator for the recognition. The experimental results verified that any one of the three techniques could recognize the light source from negatives of any film brands and all brands greater than 93.2 and 96.6% correct recognitions, respectively. This method is significant for the automation of color quality control in color reproduction from color negative film in mass processing and printing machine.

Citation Download Citation

Demas S.E.F. Sanger, Hideaki Haneishi, and Yoichi Miyake "Automatic recognition of light source from color negative films using sorting classification techniques", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217399

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