Title :
Neural networks for image analysis
Author_Institution :
GE Corp. Res. & Dev. Center, Schenectady, NY, USA
Abstract :
The author discusses three applications of neural networks to image processing: the silicon retina of C.A. Mead and M.A. Mahowald (1988); a method of echo inversion described by N.H. Farhat and B. Bai (1989); and the fingerprint recognition method of M.-T. Leung et al. (1990). Mead´s work is significant because it forms a front-end for image analysis with a morphology modeled on the eye. Farhat´s group has down work on the use of neural networks in image reconstruction. A description of some of this is included because it concerns the regularization of an inverse problem, which is similar to many ultrasonic, medical, and geophysical imaging applications. The method of M.-T. Leung et al. is noteworthy not only as an example of neuromorphic image processing, but also because the representation of the data is inspired by measurements of the mammalian brain. Current areas of research in ultrasonic applications of neural networks are discussed
Keywords :
computerised picture processing; neural nets; Si retina; echo inversion method; eye; fingerprint recognition method; image analysis; image reconstruction; inverse problem regularization; mammalian brain; neural networks; neuromorphic image processing; Biological neural networks; Fingerprint recognition; Image analysis; Image processing; Image reconstruction; Inverse problems; Morphology; Neural networks; Retina; Silicon;
Conference_Titel :
Ultrasonics Symposium, 1990. Proceedings., IEEE 1990
Conference_Location :
Honolulu, HI
DOI :
10.1109/ULTSYM.1990.171601