Illumination-invariant target color detection for EMCCD camera

Min Sung Kang, Chang Beom Oh, Kwang Hoon Sohn

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

Abstract

We introduce an illumination-invariant target color detection technique for EMCCD camera. The EMCCD camera has an advantage to acquire a color image even though the surroundings are very low-light-levels. Since the EMCCD amplifies the input signal, an EMCCD noise which is caused by the gain process in low-light imaging systems occurs. In order to use the EMCCD image, we firstly reduce the noise by using selective Gaussian blur filter which maintains the image boundary. The threshold for the Gaussian blur filter is decided after the noise analysis by using sample patch modeling. We use illumination-invariant color space based on the image acquisition model for the target color detection. Experimental results show a good possibility to apply to intelligent surveillance system and night vision system.

Original languageEnglish
Title of host publication20th Color and Imaging Conference
Subtitle of host publicationColor Science and Engineering Systems, Technologies, and Applications - Final Program and Proceedings, CIC 2012
Pages123-127
Number of pages5
Publication statusPublished - 2012
Event20th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2012 - Los Angeles, CA, United States
Duration: 2012 Nov 122012 Nov 16

Publication series

NameFinal Program and Proceedings - IS and T/SID Color Imaging Conference
ISSN (Print)1083-1304

Other

Other20th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2012
Country/TerritoryUnited States
CityLos Angeles, CA
Period12/11/1212/11/16

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

Fingerprint

Dive into the research topics of 'Illumination-invariant target color detection for EMCCD camera'. Together they form a unique fingerprint.

Cite this