Nonparametric Curve Extraction Based on Ant Colony System Qing Tan Qing He

... Curve extraction is an important and basic technique in image processing and computer vision. Due to the complexity of the images and the limitation of segmentation algorithms, there are always a large number of noisy pixels in the segmented binary images. In this paper, we present an approach based ...

... Curve extraction is an important and basic technique in image processing and computer vision. Due to the complexity of the images and the limitation of segmentation algorithms, there are always a large number of noisy pixels in the segmented binary images. In this paper, we present an approach based ...

s-cheran-g-gargano

... the Radon domain (p,phi). The Radon transform consists of taking a line integral along a line (ray) which passes through the object space. The radon transform is expressed mathematically as: {R}( p, ) ...

... the Radon domain (p,phi). The Radon transform consists of taking a line integral along a line (ray) which passes through the object space. The radon transform is expressed mathematically as: {R}( p, ) ...

Comparison of Handwriting characters Accuracy using

... andwriting recognition has been one of the active and challenging research areas in the field of image processing. The recognition of text is the ability of the computer to distinguish characters and words, can be divided into the recognition of printed and handwritten characters. Printed characters ...

... andwriting recognition has been one of the active and challenging research areas in the field of image processing. The recognition of text is the ability of the computer to distinguish characters and words, can be divided into the recognition of printed and handwritten characters. Printed characters ...

Research on the fast Fourier transform of image based on

... 3 .GPU implementation of two-dimensional FFT Many scholars and developers have tried to use GPU to achieve fast Fourier transform, the more successful is the GPUFFTW project of Carolina University in North America, which have realized the one-dimensional Fourier transform based on GPU. It uses the A ...

... 3 .GPU implementation of two-dimensional FFT Many scholars and developers have tried to use GPU to achieve fast Fourier transform, the more successful is the GPUFFTW project of Carolina University in North America, which have realized the one-dimensional Fourier transform based on GPU. It uses the A ...

3 - University of Virginia, Department of Computer Science

... byte per pixel (also: GIF image format) This byte indexes into a color map: How many colors can a pixel be? ...

... byte per pixel (also: GIF image format) This byte indexes into a color map: How many colors can a pixel be? ...

AUTOMATIC BUILDIND DETECTION FROM HIGH RESOLUTION IMAGES BASED ON MULTIPLE FEATURES

... Automatic recognition and reconstruction of buildings from aerial and space images is of great practical interest for many of applications such as cartography and photo-interpretation. Building detection is the first and very difficult step in building recognition and reconstruction. It is to find b ...

... Automatic recognition and reconstruction of buildings from aerial and space images is of great practical interest for many of applications such as cartography and photo-interpretation. Building detection is the first and very difficult step in building recognition and reconstruction. It is to find b ...

Filtered Backprojection

... Radon Transformation • Radon transform in 2-D. • Named after the Austrian mathematician Johann Radon • RT is the integral transform consisting of the integral of a function over straight lines. • The inverse of RT is used to reconstruct images from medical computed ...

... Radon Transformation • Radon transform in 2-D. • Named after the Austrian mathematician Johann Radon • RT is the integral transform consisting of the integral of a function over straight lines. • The inverse of RT is used to reconstruct images from medical computed ...

# Hough transform

The Hough transform is a feature extraction technique used in image analysis, computer vision, and digital image processing. The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure. This voting procedure is carried out in a parameter space, from which object candidates are obtained as local maxima in a so-called accumulator space that is explicitly constructed by the algorithm for computing the Hough transform.The classical Hough transform was concerned with the identification of lines in the image, but later the Hough transform has been extended to identifying positions of arbitrary shapes, most commonly circles or ellipses. The Hough transform as it is universally used today was invented by Richard Duda and Peter Hart in 1972, who called it a ""generalized Hough transform"" after the related 1962 patent of Paul Hough. The transform was popularized in the computer vision community by Dana H. Ballard through a 1981 journal article titled ""Generalizing the Hough transform to detect arbitrary shapes"".