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...

In this paper we address the problem of computing a minimal H-representation of the convex hull of the union of k H-polytopes in R. Our method applies the reverse search algorithm to a shelling ordering of the facets of the convex hull. Efficient wrapping is done by projecting the polytopes onto the two-dimensional space and solving a linear program. The resulting algorithm is polynomial in the...

This note concerns the computation of the convex hull of a given set P = {p1, p2, . . . , pn} of n points in the plane. Let h denote the size of the convex hull, ie the number of its vertices. The value h is not known beforehand, and it can range anywhere from a small constant to n. We hav e already seen that any convex hull algorithm requires at least Ω(n lg n) time in the worst case, and have...

In this paper we determine the computational complexity of the dynamic convex hull problem in the planar case. We present a data structure that maintains a finite set of n points in the plane under insertion and deletion of points in amortized O(logn) time per operation. The space usage of the data structure is O(n). The data structure supports extreme point queries in a given direction, tangen...