Shape-Color Differential Moment Invariants under Affine Transformations
This work addresses the need for robust descriptors in color image analysis, though it appears incremental as it builds on existing moment invariant methods.
The authors tackled the problem of creating invariants for shape and color under affine transformations by proposing a general construction formula for shape-color primitives, resulting in 50 shape-color differential moment invariants (SCDMIs) that achieved better results in image classification and retrieval compared to existing color descriptors.
We propose the general construction formula of shape-color primitives by using partial differentials of each color channel in this paper. By using all kinds of shape-color primitives, shape-color differential moment invariants can be constructed very easily, which are invariant to the shape affine and color affine transforms. 50 instances of SCDMIs are obtained finally. In experiments, several commonly used color descriptors and SCDMIs are used in image classification and retrieval of color images, respectively. By comparing the experimental results, we find that SCDMIs get better results.