Optical Music Recognition consists in the identification of music information from images of scores. In this paper, we propose a method for the early stages of the recognition: segmentation of staff lines and graphical primitives in handwritten scores. After introducing our work with modern musical scores (where projections and Hough Transform are effectively used), an approach to deal with anc...

A variation of the Hough Transform that is aimed at detecting digital lines has been recently suggested. Other Hough algorithms are intended to detect straight lines in the analog pre-image. These approaches arc analyzed and compared in terms of the relation between the achievable resolution and the required number of accumulators, using a definition of resolution that is based on the Geometric...

We propose a method for detecting facial symmetry axis from frontal face image. The proposed adopts voting procedure like Hough transform that transforms set of edge points into perpendicular bisectors two different selected the set. The initial guess is adjusted accurately by following fine tuning procedure. Experimental results show correctly detects axes real images visually a...

The Hough t ransform has been formulated to detect areas of linear brightness variation within an image. The formulation leads to significant computat ional advantage involving a restricted parameter search space. Two applications are included to demonstrate the efficacy of this technique.

We consider the problem of detecting elliptical curves using Hough Transform methods. Storage and efficiency problems are overcome by decomposing the problem into two stages. The first stage uses a novel constraint as the basis for a Hough Transform to detect the ellipse center while the second stage finds the remaining parameters using a simple but efficient focussing implementation of the HT....