An algorithm for extracting groove rail area based on improved Hough transform

An Improved Hough Transform Technique Based on Error Propagation

This paper describes a Bayesian scheme for incrementing the Hough Transform (HT) accumulator to improve the performance of the HT, making it more robust to noise. The proposed technique analytically computes the uncertainty of each feature point based on its gradient and location in the image. Using the estimated uncertainty of each feature point, a Bayesian probabilistic scheme is proposed to ...

An Improved Hough Transform for Circle Detection

-Digital image processing relies heavily on detection of various objects. Detection of geometric objects like lines and circles helps image understanding. In this paper, an improved version of Hough transform for circle detection in digital images is presented. Hierarchical Hough transform has been modified to achieve better computational efficiency. An important property of square root of inte...

An improved generalized Hough transform overlapping objects

The generalized Hough transform (GHT) is a powerful method for recognizing arbitrary shapes as long as the correct match accounts for both much of the model and much of the sensory object. For moderate levels of occlusion, however, the GHT can hypothesize many false solutions. In this paper, we present an improved two-stage GHT procedure for the recognition of overlapping objects. Each boundary...

Tbd Algorithm Based on Improved Random- Ized Hough Transform for Dim Target Detec- Tion

The track-before-detect (TBD) methodologies jointly process more consecutive scans and show superior detection performance for the low signal-to-noise ratio (SNR) targets over the conventional methods. A TBD algorithm based on improved Randomized Hough Transform for dim target detection is proposed in this paper. This algorithm uses the sequence numbers of scans to make sure that the point pair...

Improved - Performance ’ Randomised ‘ Hough Transform