Image Retrieval using Fuzzy Representation of Colors

Abstract

The problem addressed in this article is image indexing and retrieval according to the color. Indeed we propose a classification based on the dominant color(s) of the images. The process consists in two steps: first, assigning a colorimetric profile to the image in HLS space (Hue, Lightness, Saturation) and then, handling the query for the retrieval. To achieve the first step, the definition of hue is done using a fuzzy representation that takes into account the nonuniformity of color distribution. 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. Thus, the query for image retrieval is a pair (hue, qualifier). The second step looks for a match between the query and the profiles. In order to improve the software and to make it more flexible, the user can re-define the fuzzy representation of Hue, Lightness and Saturation, according to his own perception.

Colour image annotation using hybrid intelligent techniques for image retrieval

“…Colour naming system proposed by Sugano [14] describes a technique to convert colour into set of words such as dark red by using fuzzy membership function to define saturation and lightness for a given hue. The problem of image indexing and retrieval of colour images is demonstrated in [15].…”

Hue class equalization to improve a hierarchical image retrieval system

“…In order to do this a simple and fast computing descriptor is required. As Presented by Aït Younes et al [1] and Liu and Yang [6] we propose to develop a global descriptor based on the colors contained within images. But instead of using pre-distributed and static classes, based for example on HVS (Human Visual System), we propose to determine classes from a learning database, the classes which are equiprobable.…”

“…But instead of using pre-distributed and static classes, based for example on HVS (Human Visual System), we propose to determine classes from a learning database, the classes which are equiprobable. Aït Younes et al [1] proposes a method based on the fuzzy representation of color. This method computes some dominant colors on a HSL image, using a fuzzy classification for the hue, the saturation and the lightness.…”

Image Retrieval Based on Fuzzy Mapping of Image Database and Fuzzy Similarity Distance

“…Colour naming system proposed by Sugano [10] describes a technique to convert colour into set of words such as dark red by using fuzzy membership function to define saturation and lightness for a given hue. The problem of image indexing and retrieval of colour images is demonstrated in [11]. The lightness and saturation are represented through linguistic qualifiers also defined in fuzzy way.…”