## Third International Conference on Image Processing and Its Applications, 18-20 July 1989, Venue, University of Warwick, UK |

### From inside the book

Results 1-3 of 84

Page 30

To achieve a set saturation of the Input patterns an N tuple pre-processing

method is used. The basic form of this pre-processor is shown in fig 2. Fig 2: N

tuple pre-processing The

s bit ...

To achieve a set saturation of the Input patterns an N tuple pre-processing

method is used. The basic form of this pre-processor is shown in fig 2. Fig 2: N

tuple pre-processing The

**input image**, R, is sampled by a set of non-overlappings bit ...

Page 123

For an

Detection algorithm The line-detection algorithm is based on the Hough

Transform with edge features of position and gradient direction. The edge

features are ...

For an

**input image**of n x n pixels, the Hough Space is of size n x n. The Line-Detection algorithm The line-detection algorithm is based on the Hough

Transform with edge features of position and gradient direction. The edge

features are ...

Page 464

The hierarchy is used to reduce the amount of knowledge description, and is also

used as a menu of image ... class and super-class: names of a category of image

processing and its super class (2)

The hierarchy is used to reduce the amount of knowledge description, and is also

used as a menu of image ... class and super-class: names of a category of image

processing and its super class (2)

**input**-**image**-class:**input image**class of the ...### What people are saying - Write a review

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### Contents

Parametric descriptions and estimation a synergetic approach to solving shape from | 5 |

Threedimensional range acquisition of linelike objects | 14 |

Invariance properties of the zero crossings of the Laplacian of Gaussian operator | 23 |

Copyright | |

71 other sections not shown

### Common terms and phrases

algorithm analysis application approach array boundary elements camera cells cluster complex Computer Vision control points corresponding curvature curve described dimensional edge detection epipolar lines equation estimate example extracted feature filter fractal fractal dimension frequency function Gaussian gradient grey values greyvalue Hough Space Hough Transform hypercube IEEE Trans image plane image processing image registration implementation input image interpolation invariance kiwifruit Laplacian layer line segments linear mapping matching matrix memory method module motion neural node noise non-linear object octree operation order parameter orientation output parallel parameters Pattern Recognition peak performance pictorial graphs pixel polynomial position problem Proc processor pyramid Radon transform region registration representation road boundary rotation scale scene sequence shape spatial stage stereopsis structure surface techniques template threshold tion training set transputer type connectivity partition vector vertex type connectivity vertices visual voxels ZC line ZCs of LoG