Showing papers on "Contextual image classification published in 1972"

The Application of Filtered Transforms to the General Classification Problem

Abstract: An image classification model based on nearest prototypes in filtered Fourier and Walsh transform domains is presented. A computer simulation of the model applied to handwritten English letters, Russian letters, numerals, and electromagnetic signals is also presented. Experiments to date fail to refute the working hypothesis that generalized harmonic analysis can be used to reliably classify alphabet characters, time-varying signals, and other images.

A technique of digital image compression and representation applied to the computer analysis of scintigraphic images

Abstract: This paper is concerned with a technique of image compression through linear transformation which reduces the image information while generating a set of features for optimal image discrimination. This method consists of partitioning the original image into non-overlapping sub-images and applying the transgeneration technique to the subimages. The objective of this transgeneration technique is image data compression and feature generation that is optimal for image classification rather than for image representation. The technique is applied to transgenerate features fYom scintigraphic images for the detection of brain tumors. Some performance results for the classification of normal/abnormal classes of brain scans are presented. Some possible extensions and modifications of this work are briefly described.