Color Image Profiling Using Fuzzy Sets

Amine AÏT YOUNES

Article Details

Color Image Profiling Using Fuzzy Sets

Authors:

Amine AÏT YOUNES

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2005 Vol.13 Issue 3, pp.343-360

Document Type:

Article

Publication Date:

2/2005

Document Language:

Turkish

Document ID (Org No.):

2000744204

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

In this article, a software for image indexing and retrieval  is presented.  The classification proposed here is based on the  dominant color(s) of the images.  The process consists in assigning a  colorimetric profile to the image in HLS space (Hue, Lightness,  Saturation).  First, the definition of hue is done thanks to a fuzzy  representation to take into account the non-uniformity of colors  distribution.  And then, lightness and saturation are represented  through linguistic qualifiers also defined in a fuzzy way.  Finally,  the profile is built through fuzzy functions representing the  membership degree of the image to different classes.  In order to  improve the performances i.e. to define more accurate profiles, we  propose to consider zones of pixels, instead of pixels individually.   Those zones can be constructed thanks to an edge detection algorithm.   A sample of pixels is chosen inside a zone to determine the color of  the zone.  According to the detected dominant colors, such a software  may be used to classify indoor/outdoor images for example, or  harmonious/disharmonious images...

 

In this article, a software for image indexing and retrieval  is presented.  The classification proposed here is based on the  dominant color(s) of the images.  The process consists in assigning a  colorimetric profile to the image in HLS space (Hue, Lightness,  Saturation).  First, the definition of hue is done thanks to a fuzzy  representation to take into account the non-uniformity of colors  distribution.  And then, lightness and saturation are represented  through linguistic qualifiers also defined in a fuzzy way.  Finally,  the profile is built through fuzzy functions representing the  membership degree of the image to different classes.  In order to  improve the performances i.e. to define more accurate profiles, we  propose to consider zones of pixels, instead of pixels individually.   Those zones can be constructed thanks to an edge detection algorithm.   A sample of pixels is chosen inside a zone to determine the color of  the zone.  According to the detected dominant colors, such a software  may be used to classify indoor/outdoor images for example, or  harmonious/disharmonious images...

Article Details

Color Image Profiling Using Fuzzy Sets

Authors: Amine AÏT YOUNES

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2005 Vol.13 Issue 3, pp.343-360

Document Type: Article

Publication Date: 2/2005

Document Language: Turkish

Document ID (Org No.): 2000744204

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Amine AÏT YOUNES

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2005 Vol.13 Issue 3, pp.343-360

Document Type:

Article

Publication Date:

2/2005

Document Language:

Turkish

Document ID (Org No.):

2000744204

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632