In the application of content-based image retrieval, the ideal characteristics should be invariance to geometrical transformations. That is, once the image undergoes geometrical transformations, we expect the features extracted from the image are invariant. Thus, in this paper, rotation, scaling and translation (RST) invariant features for image retrieval are investigated, and a new method is p...

Invariance to various transformations is key to object recognition. Image-plane invariances – such as translation, rotation and scaling – can be computed independently of the specific object. On the other hand, both invariance to rotation in depth and invariance to changes in illumination require implicit information about the 3D structure of the object or its material properties and thus more ...

A Translation Invariance Denoising Algorithm with Wavelet Threshold and its Application on Signal Processing of Laser Interferometer Hydrophone is investigated. The obtained signal of Laser interferometer hydrophone exist a large number of singularity points, and the denoising algorithm of Donoho’s wavelet threshold may produce the Pseudo Gibbs phenomenon on the singularity points. To eliminate...

This paper derives scale, translation invariants as well as combined scale and translation invariants of Krawtchouk moments. Unmodified Krawtchouk moments are used for scale invariants whereas modified Krawtchouk moments are used for obtaining translation invariants because to retain the orthogonality property of discrete weighted Krawtchouk polynomials that is lost due to translation. Scale in...