✦ LIBER ✦

Restoration of geometrically aberrated images using a self-organising neural network

✍ Scribed by M.B. Sukhaswami; Arun K. Pujari

Publisher: Elsevier Science
Year: 1996
Tongue: English
Weight: 714 KB
Volume: 17
Category: Article
ISSN: 0167-8655
DOI: 10.1016/0167-8655(95)00053-4

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A self-organising neural network model o

A self-organising neural network model of image velocity encoding

✍ K. N. Gurney; M. J. Wright 📂 Article 📅 1992 🏛 Springer-Verlag 🌐 English ⚖ 959 KB

A self-organising neural network has been developed which maps the image velocities of rigid objects, moving in the fronto-parallel plane, topologically over a neural layer. The input is information in the Fourier domain about the spatial components of the image. The computation performed by the net

Evaluating the topology-preservation cap

Evaluating the topology-preservation capabilities of a self-organising logical neural network

✍ G. Tambouratzis; T.J. Stonham 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 628 KB

Classification of fingerprint images usi

Classification of fingerprint images using a neural network

✍ Masayoshi Kamijo; Hiroshi Mieno; Koichi Kojima 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 1010 KB

## Abstract Fingerprints are an effective means of identifying individuals, and several fingerprint comparison systems have already been developed. However, since it becomes difficult to recognize fingerprints with ease as the number and diversity of fingerprint patterns increases, it becomes desir

Recognition of partially overlapped part

Recognition of partially overlapped particle images using the Kohonen neural network

✍ F. Carosone; A. Cenedese; G. Querzoli 📂 Article 📅 1995 🏛 Springer 🌐 English ⚖ 887 KB

A neural network is proposed for the recognition of partially overlapped particle images in the analysis of Particle Tracking Velocimetry (PTV) frames. The Kohonen neural network is an approximation to an optimum classifier. In this

Quantitative measurement of texture orie

Quantitative measurement of texture orientation in biomedical images using an artificial neural network

✍ Zhen Zhang; Randall E. Scarberry; Marwan A. Simaan 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 172 KB 👁 2 views

Texture orientation is one of the most important attriof heart tissue obtained through optical sectioning. The orientabutes used in biomedical and clinical image interpretation. It provides tions of image texture in these images provide the critical conneccritical clues of continuity and connectivit

On-line monitoring of tool breakage in f

On-line monitoring of tool breakage in face milling using a self-organized neural network

✍ T.J. Ko; D.W. Cho; M.Y. Jung 📂 Article 📅 1995 🏛 Society of Manufacturing Engineers 🌐 English ⚖ 1022 KB