Document Type
Report
Date
12-1990
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.
Recommended Citation
Anand, Rangachari; Mehrotra, Kishan; Mohan, Chilukuri K.; and Ranka, Sanjay, "Analyzing Images Containing Multiple Sparse Patterns with Neural Networks" (1990). Electrical Engineering and Computer Science - Technical Reports. 75.
https://surface.syr.edu/eecs_techreports/75
Source
local
Additional Information
School of Computer and Information Science, Syracuse University, SU-CIS-90-42