A pattern recognition system is described for recognizing shipbuilding parts using artificial neural networks and Fourier descriptors. The system uses shape contour information that is invariant of size, translation, and rotation. Fourier descriptors provide information, and the neural networks make decisions about the shapes. A brief review of the current state of the art is included, and resu...

This paper is concerned with networks of interacting linear systems at sites of a multidimensional lattice. The systems are governed by linear ODEs with constant coefficients driven by external inputs, and their internal dynamics and coupling with the other component systems are translation invariant. Such systems occur, for example, in finite-difference models of large-scale flexible structure...

We show how the variational principle for Gibbs States (which says that for the d{ dimensional cubic lattice, the set of translation invariant Gibbs States is the same as the set of translation invariant measures which maximize entropy minus energy and moreover that this quantity corresponds to the pressure) fails for nearest neighbor nite state statistical mechanical systems on the homogeneous...

It has been long recognized that a key obstacle to achieving human-level object recognition performance is the problem of invariance [10]. The human visual system excels at factoring out the image transformations that distort object appearance under natural conditions. Models with a cortex-inspired architecture such as HMAX [9, 13] as well as nonbiological convolutional neural networks [5] are ...

in this paper, we aim to overcome three major shortcomings of the fdh (free disposal hull) directional distance function through developing two new, named linear and fractional cdfdh, complete fdh measures of efficiency. to accomplish this, we integrate the concepts of similarity and fdh directional distance function. we prove that the proposed measures are translation invariant and unit invari...

this study aimed to assess the quality of persian translation of orwell's (1949) nineteen eighty-four by balooch (2004) based on house's (1997) model of translation quality assessment. to do so, 23 pages (about 10 percent) of the source text were randomly selected. the profile of the source text register was produced and the genre was realized. the source text profile was compared to the transl...

The fractional Laplacian (−�)γ/2 commutes with the primary coordination transformations in the Euclidean space Rd: dilation, translation and rotation, and has tight link to splines, fractals and stable Levy processes. For 0 < γ < d, its inverse is the classical Riesz potential Iγ which is dilationinvariant and translation-invariant. In this work, we investigate the functional properties (contin...

The paper presents algorithms for the construction of features which are invariant with respect to a given nite transformation group. We show that it is in principle possible to construct complete feature sets. The developed methods are general and work for arbitrary nite groups. However, in this paper we focus on translation and rotation invariant features for gray scale images. We investigate...

11 We propose a fuzzy expert systems architecture for image classification, whose rules 12 are implemented through translation invariant mathematical morphology operators. 13 The use of the architecture is illustrated by an expert system that classifies an area of the 14 Tapaj os National Forest, in Brazil. 2002 Elsevier Science Inc. All rights reserved.

We present a live web defect detection and classification system that runs on a Laptop PC with an attached camera. Features, invariant with respect to rotation and translation based on local integration are extracted from the grabbed images. They are then presented to a neural network for classification.