In this paper, we propose and implement a leaf recognition system using the leaf vein and shape that can be used for plant classification. The proposed approach uses major main vein and frequency domain data by using Fast Fourier Transform (hereinafter, FFT) methods with distance between contour and centroid on the detected leaf image. Total 21 leaf features were extracted for the leaf recognit...

We are not free from the side ef'fect caused by the digitization of the image also in Hough transform. Since Hough transform detects lines in the expression of the analog line equation, it is finally needed to extract digital line segments from the analog line equations. In this paper, we propose a new method DTHT(Digita1 Template Hough Transform) to detect digital line segments directly from t...

Abstract—A GPR object detection algorithm delivers a promising performance using the Hough transform through a high computational load. This paper presents a fast Hough-based algorithm. To reduce the parameter space of the Hough transform, first, two parameters for a reflection hyperbola were estimated using cross correlation between adjacent A-scans. Next, only a 1D Hough transform is necessar...

We utilize support functions to transform the problem of constructing the convex hull of a finite set of curved objects into the problem of computing the upper envelope of piecewise linear functions. This approach is particularly suited if the objects are (possibly intersecting) circular arcs in the plane. Mathematics Subject Classification (2000). Primary 68U05; Secondary 65D18.

In this note we first redefine the notion of a fuzzy hypervectorspace (see [1]) and then introduce some further concepts of fuzzy hypervectorspaces, such as fuzzy convex and balance fuzzy subsets in fuzzy hypervectorspaces over valued fields. Finally, we briefly discuss on the convex (balanced)hull of a given fuzzy set of a hypervector space.

ÐIn this paper, an Inverse Hough Transform algorithm is proposed. This algorithm reconstructs correctly the original image, using only the data of the Hough Transform space and it is applicable to any binary image. As a first application, the Inverse Hough Transform algorithm is used for straight-line detection and filtering. The lines are detected not just as continuous straight lines, which i...

v LIST OF TABLES vi LIST OF FIGURES viii CHAPTER 1. nslTRODUCTION 1 1.1 Motivation and Problem Statement 1 1.2 Previous Research 4 1.3 Thesis Organization 5 2. MATHEMATICAL METHODS FOR PREPROCESSING AND IMPLEMENTATION WITH THE CUSTOMIZED HOUGH TRANSFORM 7 2.

A new branch of Hough Transform algorithms, called probabilistic Hough Transforms, has been actively developed in recent years. One of the rst was a new and eecient probabilistic version of the Hough Transform for curve detection, the Randomized Hough Transform (RHT). The RHT picks n pixels from an edge image by random sampling to solve n parameters of a curve and then accumulates only one cell...

Replacing the Hough calculation of the trigonomeric functions, sine and cos0,by the piece-wise linear Hough function(PLH), the basic cost for the sine , cose and the multiplications is removed. The PLH function is directly introduced from the usual Hough function. The PLH function inherits the basic properties of the usual Hough function from the view point to extract the line patterns from the...