Moment Invariants for Color Constant ImageDescription
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Graphical Abstract
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Abstract
An important class of color constant im-
age descriptors is based on image derivatives. However,
these derivative-based descriptors are sensitive to blurring
changes of image, and also lose much color information in
uniform regions. Aiming at overcoming these drawbacks,
the contributions of this paper are in three-folds: First,
by introducing 3D moment invariants, we propose a color
constant descriptor in RGB color space, which can char-
acterize original image color content. Second, we de¯ne
a 2D edge-based color space based on the diagonal-o®set
re°ectance model. A novel color constant descriptor in the
proposed edge-based color space is presented by using mo-
ment invariants. This descriptor can characterize edge im-
age with nearly no sensitivity to image blurring. Finally,
we combine the aforementioned descriptors to construct
the third color constant descriptor, which can describe not
only original image color content but also the edge image
color feature. The experiments on scene recognition show
that all these descriptors have satisfying performance un-
der various light sources. Furthermore, all these proposed
descriptors are insensitive to image a±ne transformations
and blurring changes.
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