Generic polar harmonic transforms for invariant image representation
نویسندگان
چکیده
منابع مشابه
Generic polar harmonic transforms for invariant image representation
This paper introduces four classes of rotation-invariant orthogonal moments by generalizing four existing moments that use harmonic functions in their radial kernels. Members of these classes share beneficial properties for image representation and pattern recognition like orthogonality and rotation-invariance. The kernel sets of these generic harmonic function-based moments are complete in the...
متن کاملGeometrically invariant image watermarking using Polar Harmonic Transforms
This paper presents an invariant image watermarking scheme by introducing the Polar Harmonic Transform (PHT), which is a recently developed orthogonal moment method. Similar to Zernike moment (ZM) and pseudo-Zernike moment (PZM) approaches, PHT is defined on a circular domain. The magnitudes of PHTs are invariant to image rotation and scaling. Furthermore, the PHTs are free of numerical instabi...
متن کاملSensor Transforms for Invariant Image Enhancement
The invariant image [1, 2] formed from an RGB image taken under light that can be approximated as Planckian solves the colour constancy problem at a single pixel. The invariant is a very useful tool for possible use in a large number of computer vision problems, such as removal of shadows from images [3]. This image is formed by projecting log-log chromaticity coordinates into a 1D direction de...
متن کاملApplication of Polar Harmonic Transforms to Fingerprint Classification
Accurate object classification is often confounded by the variation of the pose of the object. We show in this chapter how a set of recently introduced transforms, called the Polar Harmonic Transforms (PHTs), can be used to produce a set of features for rotation invariant fingerprint representation. For accurate classification, fingerprint images often need to be corrected for rotational differ...
متن کاملImproved Moment Invariants for Invariant Image Representation
This paper proposes improved moment invariants for representing images. These features are invariant to orientation, size and translation. These new features compute moments from a point shifted to a distance from the image centroid. By doing so, the new moments show improved ability to represent symmetrical and noisy images. Both these problems of symmetry and noise are common when regular mom...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Image and Vision Computing
سال: 2014
ISSN: 0262-8856
DOI: 10.1016/j.imavis.2014.04.016