Recently reversible data hiding (RDH) is getting more and more attention in encrypted images, as it maintains the excellent property that the original image cover can be losslessly recovered after the embedded data is extracted while image and data are protected and are confidential.This paper presents a method for reversible data hiding using circular hough transformation(CHT). CHT detects the...

The study of tree-rings is a common task in dendrology. Usually the rings deliver information about the age of the tree, historic climate conditions and forest densities. Many different techniques exist to perform the tree-ring detection, but they commonly are semi-automatic. The main idea of this work is to propose an automatic process for the tree-ring detection and compare it with a manual d...

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 decomposition of binary images using rectangular blocks of foreground pixels as primitives is considered. Based on this type of decomposition, a fast method for evaluating the Hough transform is introduced. A complexity analysis of the proposed block Hough transform algorithm sets constraints on the complexity of algorithms used for block decomposition, so that the total decomposition and H...

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 is a voting scheme for locating geometric objects in point clouds. This paper describes its application for detecting lines in three dimensional point clouds. For parameter quantization, a recently proposed method for Hough parameter space regularization is used. The voting process is done in an iterative way by selecting the line with the most votes and removing the corresp...

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...

For the computational model where only additions are allowed, the Ω(n log n) lower bound on operations count with respect to image size n × n is obtained for two types of the discrete Radon transform implementations: the fast Hough transform and a generic strip pattern class which includes the classical Hough transform, implying the fast Hough transform algorithm asymptotic optimality. The proo...

The Hough transform is a well-known pattern recognition technique for finding parametric curves and general shapes in an image. This research demonstrates that it is equally well suited for real-time symbol detection. Both the parametric and generalized Hough transforms produce results of high accuracy and excellent performance in real-time video streams, compared with classical techniques such...