Showing papers in "Pattern Recognition Letters in 1984"

TL;DR: Past work on fuzzy geometric concepts, which include connectedness, adjacency and surroundedness, starshapedness and convexity, area and perimeter, extent and diameter are summarized and some new results are included.

TL;DR: A new and simple analytical technique is presented that accomplishes the inverse problem of computing the camera location and orientation from the transformation matrix rather easily and has applications to a wide variety of problems in Computer Vision.

TL;DR: A least squares algorithm for fitting an ultrametric tree to a dissimilarity matrix is developed and an illustrative application is presented.

TL;DR: Experiments conducted using the dictionary of 1025 most common English words indicate that the accuracy of correction by this scheme is substantially greater than that which can be obtained by other algorithms especially while dealing with garbled words derived from relatively short words of length less than 6.

TL;DR: This paper proposes a general system approach applicable to the automatic inspection of textured material in which the input image is preprocessed in order to be independent of non-uniformities and a tone-to-texture transform is performed.

TL;DR: For all kinds of stationary plane grids only the 6-neighborhood is consistent, and it admits the definition of a digital curve, in particular a contour, as a set of pixel pairs, and may be coded with one bit per grid step.

TL;DR: A two-stage Hough procedure for two-dimensional object recognition based on matching local properties of a model set of contour points, which makes use of three strategies: subdivision of the parameter space, classification by multiple properties, and non-maximum suppression.

TL;DR: An algorithm to efficiently realize repeated Cellular Logic operations, which include erosions and dilations as well as skeletonization (topology-preserving shrinking) and propagation procedures, is described.

TL;DR: A new simple two-step procedure is presented for triangulating P, without the addition of new vertices, in O(n) time, since the previous algorithm no specialized code is needed.

TL;DR: A hierarchical three-stage syntactic recognition algorithm using context-free grammars is described for automatic identification of skeletal maturity from X-rays of hand and wrist.

TL;DR: A method of evaluating fuzzy clustering algorithms that generates a partition matrix of a data set with the entries lying in the [0, 1] interval and expressing the grade of belonging of the object to the clusters detected.

TL;DR: A relationship between 3D rotation of an object and 2D shape changes in a sequence of images is established and it is shown that with orthographic projections, the3D rotation angles can be computed from a set of linear shape change parameters.

TL;DR: All the metric subgraphs of M and N are determined, which are equal respectively to the city block and chessboard matrics used in pattern recognition.

TL;DR: An Index of Feature Evaluation in pattern recognition problems in terms of intraclass and interclass ambiguity is defined, seen to possess a lower value for the feature having more importance in characterising a class.

TL;DR: A set of rules for segmenting images was selected based on a quantitative evaluation of performance using a rule-based system and the results of their application were summarized.

TL;DR: Recursive pyramidal image representation in image coding algorithms through the use of the pyramid structure, and recursive two-dimensional scannings are introduced and experimental results demonstrating the achieved compression ratio and distortions are provided.

TL;DR: The Universal Imaging Algebra is introduced as a many sorted algebra that involves numerous new and conventional operators useful in image analysis and recognition.

TL;DR: A new approach permitting to induce and aggregation index from knowledge acquiring on the learning set is proposed; the aggregation index thus obtained permits to induce a hierarchy which infers the desired classes on the whole population.

TL;DR: The3-D Hough shape transform is described which is used for the localization in space of 3-D objects defined in terms of the spatial organization of their features.

TL;DR: The architecture of a failure diagnosis system, as used in automatic testing, automatic imaging inspection, and specific failure detection tasks in electronics, is described.

TL;DR: It is proved that the Haar transform is inferior to the Walsh-Hadamard transform for first-order Markov processes, and a unique condition is presented which, if satisfied by the elements of a matrix, will make the Karhunen-Loeve transform of the matrix and theHaar transform equivalent.

TL;DR: An image representation is described that uniquely encodes the information in a gray-scale image, decouples the effects of illumination, reflectance, and angle of incidence, and is invariant, within a linear shift, to perspective, position, orientation, and size of arbitrary planar forms.

TL;DR: A linear equation in the affine parameters used to model image motion may be derived by Taylor series expansion and truncation, and windowed spatial integration.

TL;DR: Two new inference algorithms are presented which are based on a sequential learning scheme which identify automata from input/output sequences through an induction-contradiction-discrimination procedure.

TL;DR: This report shows that a plausible shape can be obtained based only on two light sources, based on the approximation of a surface patch by a spherical patch.

TL;DR: A novel concept of deenhancement is introduced, which makes the irreversible enhancement process a reversible one and strengthens the generalisation concept of image enhancement.

TL;DR: A comprehensive effort to apply the theory of fuzzy sets to the problem of man-machine interaction for pattern recognition is outlined and illustrated.

TL;DR: An expert system called Sperill-II is introduced for the damage assessment of existing structures using the knowledge of experienced structural engineers using Fuzzy sets and Dempster and Shafer's theory.

TL;DR: Results of experiments conducted on a scheme for inferring two-dimensional, probabilistic Siromoney array grammars incorporating Markov random field distortion of binary images are presented.

TL;DR: A multistage evolutionary scheme for clustering in a large data base, like speech data, by clustering a small subset of the entire sample set in each stage and treating the cluster centroids so obtained as samples, together with another subset of samples not considered previously, as input data to the next stage.