This paper presents an algebraically extended 2D image representation. Combining methods of tensor algebra, monogenic signal and quadrature filter, this novel image representation can be derived as the monogenic extension of a curvature tensor. From it, the monogenic signal and the monogenic curvature signal for modeling intrinsically one and two dimensional (i1D/i2D) structures are obtained as...

We consider the estimation of local grey level image structure in terms of a lay ered representation This type of representation has recently been successfully used to segment various objects from clutter using either optical ow or stereo disparity infor mation We argue that the same type of representation is useful for grey level data in that it allows for the estimation of properties for each...

This work presents a new approach and an algorithm for binary image representation, which is applied for the fast and efficient computation of moments on binary images. This binary image representation scheme is called image block representation, since it represents the image as a set of nonoverlapping rectangular areas. The main purpose of the image block representation process is to provide a...

iris recognition is one of the most reliable methods for identification. in general, itconsists of image acquisition, iris segmentation, feature extraction and matching. among them, iris segmentation has an important role on the performance of any iris recognition system. eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. in this pa...

This paper describes a color-based image retrieval technique that uses a new representation for the color content of an image. The new representation, called Spiral Bit-string Representation, is an extension of the traditional bitmap signature representation, where the image description is performed in a spiral manner, starting from the centre of the image and moving clockwise towards the borde...

This paper describes a binary image representation scheme, which is called Image Block Representation and presents a new skeletonization algorithm, which is fast implemented on block represented binary images. The main purpose of the Image Block Representation is to provide an efficient binary image representation that permits the execution of operations on image areas instead of image points. ...

This paper presents a new approach to obtain a high resolution image from a single image low resolution by a technique of sparse representation. Sparse representation is a way of representing a signal sparsely i.e. with fewer non zero elements. In this method we find the sparse representation of the input low resolution image patches and then use the coefficient of this representation to genera...

the representation of buddha’s image in the art of india, has always been associated with the necessities of life, beliefs and customs of indian people. buddha’s representation, could be divided into two phases: the symbolic phase which sometimes called the first period (2b.c to 1a.d) and the figurative phase which is also called the second period (from 1a.d. on). during his lifetime (563 b.c -...

We present a topological characterization for fuzzy regular languages: we show that there is a bijective correspondence between fuzzy regular languages and the set of all clopen fuzzy subsets with finite image in the induced fuzzy topological space of Stone space (Profinite space), and then we give a representation of closed fuzzy subsets in the induced fuzzy topological space via fuzzy regular...