A new method is proposed to detect circular arcs. The detection of a circular arc includes the determination of its center, radius, length, and midpoint. The Hough transform is applied to detect circular arcs by using center and radius as parameters. A peak value in the parameter space of the Hough transform indicates the existence of a circular arc. The center and radius of the circular arc ar...

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...

We propose a method to detect circular arcs, including the determinations of their centers, radii, lengths, and midpoints. The center, radius of a circular arc can easily be determined using circular Hough transform. But, the determinations of the arc midpoint and length are more complicated. Theoretical analysis of the centroid of the near peak Hough transform data is presented. Then, the arc ...

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 ...

this paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. in the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. then microaneurysms are identified by circular hough transform. in the existing methods of detecting microaneurysms, it is necessary to identify...

A practical modification of the Hough transform is proposed that improves the detection of low-contrast circular objects. The original circular Hough transform and its numerous modifications are discussed and compared in order to improve both the efficiency and computational complexity of the algorithm. Medical images are selected to verify the algorithm. In particular, the algorithm is applied...

In this paper, we introduce a new method for elliptical object identification. The proposed method adopts a hybrid scheme which consists of Eigen values of covariance matrices, Circular Hough transform and Bresenham’s raster scan algorithms. In this approach we use the fact that the large Eigen values and small Eigen values of covariance matrices are associated with the major and minor axial le...