This paper presents the idea of a batch form of the Hough transform, the Compact Hough Transform (CHT), which aims at detecting locations with high probability of belonging to a shape of an approximate size. The CHT is used in a problem of segmentation of cell nuclei, where the nuclear boundary is detected using a method based on maximum likelihood.

In order to perform intra-operative or post-implant dosimetry in prostate brachytherapy, the 3D coordinates of the implanted radioactive seeds must be determined. Film or fluoroscopy based seed reconstruction techniques use back projection of x-ray data obtained at two or three x-ray positions. These methods, however, do not perform well when some of the seed images are undetected. To overcome ...

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...

Content based image retrieval (CBIR) has been possibly the greatest significant enquiry areas in computer science for the last decade. A retrieval way which mix texture, color and shape feature is future in this paper. In this research, implemented a novel method for CBIR using Hough Transform ,DCD and DWT feature with Support vector machine (SVM) as a classifier. In the process of feature extr...

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...

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 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...

We introduce a new method for size and orientation normalization of unconstrained handwritten words based on the Hough transform. A modi ed Hough transform is applied to extremum points along the y coordinate to extract parallel lines corresponding to the boundary lines separating di erent vertical zones of the handwritten word. One dimensional Gaussian smoothing with variable variance is appli...