In this paper we employ different methods for constructing histograms from invariant features that are computed locally around a set of salient points. These points represent, together with their neighborhood, the most important visual information in an image. The features used for constructing the histograms are evaluations of Haar integrals with nonlinear kernel functions. The resulting histo...

An approximate equivalence checking method is developed based on the use of partial Haar spectral diagrams (HSDs). Partial HSDs are defined and used to represent a subset of the Haar spectral coefficients for two functions. Due to the uniqueness properties of the Haar transform, a necessary condition for equivalence is that the individual coefficients must have the same value. The probability t...

A method for seamless stitching of images with photometric inconsistencies in the overlapping region is presented. The method is based on generating a set of stitched gradients from the gradients of the input images and then reconstructing the mosaic image using the Haar wavelet integration technique of [11], [12]. This O(N) reconstruction technique is based on obtaining the Haar wavelet decomp...

OPSOMMING Die vroedvrou lewer deur die eeue been haar diens aan die gemeenskap en haar rol het saam met die mediese wetenskap ontwikkel. Navorsing is gedoen oor die hedendaagse rol van die vroedvrou in Suid-Afrika. Daar is bevind dat sy in die lewering van omvattende gesondheidsorg die geneesheer aanvul. Sy het voorkomende, koordinerende, terapeutiese, versorgings, opvoedings, besluitnemings en...

A face recognition algorithm based on local binary Haar feathers which represented as Kadane optimizing multi-threshold AdaBoost was proposed according to the problems of texture shape feature representation and classification algorithm accuracy in the process of facial classifying detection and recognition, First, improve the traditional expression by using image Local binary pattern of Haar f...

In this paper, we have proposed a Haar wavelet quasilinearization method to solve the well known Blasius equation. The method is based on the uniform Haar wavelet operational matrix defined over the interval [0, 1]. In this method, we have proposed the transformation for converting the problem on a fixed computational domain. The Blasius equation arises in the various boundary layer problems of...

Texture is the term used to characterize the surface of a given object or phenomenon and is an important feature used in image processing and pattern recognition. Our aim is to compare various Texture analyzing methods and compare the results based on time complexity and accuracy of classification. The project describes texture classification using Wavelet Transform and Co occurrence Matrix. Co...