In this chapter, several advanced detection algorithms for Track-Before-Detect (TBD) procedures using the Hough Transform (HT) are proposed and studied. The detection algorithms are based on the scheme described in (Carlson et al., 1994) to use the Hough transform for simultaneous target detection and trajectory estimation. The concept described in (Carlson et al., 1994) accepts that a target m...

3D face" S3D can be utilized to generate the 3D facial caricature Q3D as given in the eq. (1). This general idea of We proposed a method of 3D caricature generation 3D caricaturing is shown in Fig. 1. which is based on the automatic extraction of the facial parts for the 3D facial image. This method is likely to suffer sometimes fatal degradations in the feature extraction 81, = &D + b ( L S ~ ...

This study aims to extract automatically building roof planes from airborne LIDAR data applying an extended 3D Randomized Hough Transform (RHT). The proposed methodology consists of three main steps, namely detection of building points, plane detection and refinement. For the detection of the building points, the vegetative areas are first segmented from the scene content and the bare earth is ...

This paper represents algorithm for recognition of the coins of different denomination. The proposed system first uses a canny edge detection to generate an edge map, then uses CHT (Circular Hough transform) to recognize the coins and further find the radii of them. Based on the radius of the coin, the coins of different denomination are classified. The experimental result shows that the Hough ...

The Hough Transform [6] -HTis a standard tool in image analysis that allows recognizing global patterns in an image space. To detect shapes in noisy data, preserving the idea of the conventional HT, but allowing detection of approximate shapes, the Fuzzy Hough Transform -FHTwas introduced [8]. Based on the FHT way of work, we propose an Edge Orientation-based Fuzzy Hough Transform -EOFHTwherein...

The Hough transform is a popular method for detecting complex forms in digital images. However, the technique is not very robust since several parameters that determine the scope of the detection results, such as quantization thresholds and intervals, must "rst be de"ned. In the present paper, we propose to enhance shape detection with the Hough transform through fuzzy analysis. One chief drawb...

In order to solve the problems of Image pretreatment and the extraction of navigation line on agricultural machinery visual navigation, a route navigating system based on improved HOUGH transform is brought forward. First, extract the set of points from the original image based on the threshold segmentation and edge detection. Second, an improved HOUGH transform algorithm is used on detecting t...

The authors look at the benefits of exploiting gradient information to enhance the progressive probabilistic Hough transform (PPHT). It is shown that using the angle information in controlling the voting process and in assigning pixels to a line, the PPHT performance can be significantly improved. The performance gains are assessed in terms of repeatability of results, a measure that has direct...

Currently Hough transform and its variants are the most common methods for detecting analytic curves from a binary edge image. However, these methods do not scale well when applied to complex noisy images where correct data is very small compared to the amount of incorrect data. We propose a Genetic Algorithm in combination with the Randomized Hough Transform, along with a di erent scoring func...