PClines is a parameterization of lines usable for efficient line detection based on the Hough transform. The talk will describe the information from CVPR2011 paper with the same name and it will extend it with more context from an upcoming Springer book "Real-Time Detection of Lines and Grids By PClines and Other Approaches". PClines is usable for real-time detection of lines and it is especial...

This paper addresses the improvement on the generalized Hough transform for the biometric identification applications. The errors in generalized Hough transform for fingerprint matching are investigated and a new hierarchical Hough transform algorithm is proposed, which is faster and more accurate compared to conventional generalized Hough transform.

this paper is practically interested in the unchangeable feature of Arabic handwritten character. It presents results of comparative study achieved on certain features extraction techniques of handwritten character, based on Hough transform, Fourier transform, Wavelet transform and Gabor Filter. Obtained results show that Hough Transform and Gabor filter are insensible to the rotation and trans...

The Hough transform is a standard technique for finding features such as lines in images. Typically edgels or other features are mapped into a partitioned parameter or Hough space as individual votes. The target image features are detected as peaks in the Hough space. In this paper we consider not just the peaks but the mapping of the entire shape boundary from image space to the Hough paramete...

This paper contains a brief literature survey of applications and improvements of the Hough transform, a description of the Hough transform and a few of its algorithms, and simulation examples of line and curve detection using the Hough transform.

-In this paper we show how the use of qualitative features can enhance the performance of recognition and localization techniques, in particular, the Generalized Hough Transform. Qualitative features (i.e. scene features with qualitative attributes assigned to them) are shown to be effective in pruning the search space of possible scene interpretations and also reducing the number of spurious i...

Hough transform can be used to detect parametric patterns, such as straight lines and circles, embedded in noisy images. The large amount of storage and computing power required by the Hough transform presents a problem in real-time applications. Multiresolution Hough transform (MHT) very efficient in reducing the computing and storage requirements. In this paper, we show the effectiveness of t...

We are not free from the side ef'fect caused by the digitization of the image also in Hough transform. Since Hough transform detects lines in the expression of the analog line equation, it is finally needed to extract digital line segments from the analog line equations. In this paper, we propose a new method DTHT(Digita1 Template Hough Transform) to detect digital line segments directly from t...

ÐIn this paper, an Inverse Hough Transform algorithm is proposed. This algorithm reconstructs correctly the original image, using only the data of the Hough Transform space and it is applicable to any binary image. As a first application, the Inverse Hough Transform algorithm is used for straight-line detection and filtering. The lines are detected not just as continuous straight lines, which i...

v LIST OF TABLES vi LIST OF FIGURES viii CHAPTER 1. nslTRODUCTION 1 1.1 Motivation and Problem Statement 1 1.2 Previous Research 4 1.3 Thesis Organization 5 2. MATHEMATICAL METHODS FOR PREPROCESSING AND IMPLEMENTATION WITH THE CUSTOMIZED HOUGH TRANSFORM 7 2.