Illumination-invariant color space and its application to skin-color detection

Ukil Yang, Bongjoe Kim, Kar Ann Toh, Kwanghoon Sohn

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Color-based digital image processing (DIP) techniques have attracted much attention in many vision-based applications. However, due to color variations resulting from illumination changes, many color-based DIP techniques have yet to demonstrate a stable state of performance. Skin-color detection, which is one of the popular color-based DIP techniques, must overcome the illumination problems. We address the issue by presenting an illumination-invariant color space based on the image acquisition model that is determined by the Lambertian surface. Furthermore, we propose a method of skin-color detection based on the illumination-invariant color space. To evaluate the performance in terms of the illumination-invariant property, we perform a skin-color detection experiment. In the experiment, we compare the proposed method with the methods based on several color spaces. From the experiment, we achieve encouraging results, and our empirical experiments evidence both the effectiveness and the usefulness of the proposed method.

Original languageEnglish
Article number107004
JournalOptical Engineering
Volume49
Issue number10
DOIs
Publication statusPublished - 2010 Oct 1

Fingerprint

Skin
Lighting
illumination
Color
color
image processing
Image processing
Experiments
Image acquisition
acquisition

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this

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abstract = "Color-based digital image processing (DIP) techniques have attracted much attention in many vision-based applications. However, due to color variations resulting from illumination changes, many color-based DIP techniques have yet to demonstrate a stable state of performance. Skin-color detection, which is one of the popular color-based DIP techniques, must overcome the illumination problems. We address the issue by presenting an illumination-invariant color space based on the image acquisition model that is determined by the Lambertian surface. Furthermore, we propose a method of skin-color detection based on the illumination-invariant color space. To evaluate the performance in terms of the illumination-invariant property, we perform a skin-color detection experiment. In the experiment, we compare the proposed method with the methods based on several color spaces. From the experiment, we achieve encouraging results, and our empirical experiments evidence both the effectiveness and the usefulness of the proposed method.",
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Illumination-invariant color space and its application to skin-color detection. / Yang, Ukil; Kim, Bongjoe; Toh, Kar Ann; Sohn, Kwanghoon.

In: Optical Engineering, Vol. 49, No. 10, 107004, 01.10.2010.

Research output: Contribution to journalArticle

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