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.
Anand, Rangachari; Mehrotra, Kishan; Mohan, Chilukuri; and Ranka, Sanjay, "Analyzing Images Containing Multiple Sparse Patterns with Neural Networks" (1990). Electrical Engineering and Computer Science Technical Reports. Paper 75.