Document Type

Report

Date

12-1990

Embargo Period

5-1-2012

Keywords

Images

Language

English

Disciplines

Computer Sciences

Description/Abstract

We have addressed the problem of analyzing images containing multiple sparse overlapped patterns. This problem arises naturally when analyzing the composition of organic macromolecules using data gathered from their NMR spectra. Using a neural network approach, we have obtained excellent results in using NMR data to analyze the presence of amino acids in protein molecules. We have achieved high correct classification percentages (about 87%) for images containing as many as five substantially distorted overlapping patterns.

Additional Information

School of Computer and Information Science, Syracuse University, SU-CIS-90-42

Source

local

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