Quantization-free parameter space reduction in ellipse detection Kuang Chung Chen Ellipse modeling and detection is an important task in many computer vision and pattern recognition applications. In this thesis, four Hough-based transform algorithms have been carefully selected, studied and analyzed. These techniques include the Standard Hough Transform, Probabilistic Hough Transform, Randomize...

Randomized Hough Transform (RHT) has been recently proposed as a new and eecient variation of the Hough Transform for curve detection. In this paper the RHT is combined with the Fuzzy Cell Hough Transform (FCHT) and a new variation, the Randomized Fuzzy Cell Hough Transform (RFCHT) is proposed. The p-dimensional parameter space of Hough Transform is split into fuzzy cells with overlapped interv...

Complex ensemble of shapes in an image is very difficult for segmentation. Hough transform is one of the robust algorithms for detecting geometric shapes in the images. The modification of this Hough transform is used for effecting way of segmenting images. By tuning the parameters of the circle detection model, extracting the concentric shapes is achieved. In this paper, we proposed an algorit...

The Hough transform is a widely used tool for line detection mainly due to its robustness to noise; on the other hand, it is also known to be computationally expensive, thus often preventing from real-time operation. In this paper we evaluate the performance of an all-integer version of the Hough transform, implemented without floating point operations. We show that the integer transform is 2 t...

A method for locating underground pipes from a pulse radar image is presented. The method employs the Laplacian of Gaussian filter to extract edges and employs the Hough transform to determine the depth of the pipes. A preliminary experiment showed its ability to detect deeply buried pipes with weak signal echoes. key words: radar image, Hough transform, LoG filter, underground locating

The present work focus on the identification of malignant neoplasias in breast by using the Hough Transform in digital images. A detector of circumference was implemented based on the Hough Transform once the pattern to identify is circular. The detector presented here was developed using MatLab, and was applied to detect circumferences in tomography images.

We extend the velocity Hough transform (VHT) for tracking objects with arbitrary velocity by ®nding an optimal, smooth trajectory that maximises its associated energy. Optimisation is achieved by temporal dynamic programming (DP). Tracking in noise is much superior to the standard Hough transform (SHT).

To cope with the growing demand for transportation on railway system, accurate, robust, and high-frequency positioning is required to enable a safe efficient utilization of existing infrastructure. As basis localization system we propose complete on-board mapping pipeline able map robust meaningful landmarks, such as poles from power lines, in vicinity vehicle. Such are good candidates reliable...

When using the original slope-intercept parameter-isation for the Hough transform, the resulting parameter space actually corresponds to the dual space. Indeed , lines are transformed into points, and for every point there is also a corresponding line. This paper presents a way of exploiting this special property, by the introduction of the Cascaded Hough Transform, or CHT for short. This allow...

A method to extend the Hough transform (HT) to detect connectivity by ordered accumulation is reported. The method is applied to the dynamic combinatorial HT [6]. A focus of attention mechanism is also reported. Our connective HT with focus of attention reduces the computational complexity of the DCHT and increases the S/N ratio of the peak in its accumulator. It may be regarded as a principled...