Application of neural networks to pattern recognition problems in remote sensing and medical imagery
Jo Ann Parikh, John S. DaPonte, Meledath Damodaran, Porter Sherman · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
The primary objective of this research is the development and testing of neural network models for two fundamental computer vision tasks: edge/line detection and texture analysis. In order to test the ability of the neural network models to detect patterns in images we used both remote sensing data and medical imagery. Neural network models for edge and line detection were used to detect geological lineaments in Landsat data. Neural network models for the analysis of image texture variations were used on ultrasonic images to distinguish patients with normal liver scans from patients with diffuse liver disease. 1.