Digital mapping of side-scan sonar data with the Woods Hole Image Processing System software

1992 ◽  
Author(s):  
Valerie F. Paskevich
Keyword(s):  
Image Processing ◽  
Processing System ◽  
System Software ◽  
Side Scan Sonar ◽  
Image Processing System ◽  
Digital Mapping

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

Design of embedded digital image processing system based on ZYNQ

2021 ◽  
Vol 83 ◽  
pp. 104005
Author(s):  
Jin Liu ◽  
Jie Feng
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing System ◽  
Image Processing System

scholarly journals Corrosion Detection for Large Steel Structure base on UAV Integrated with Image Processing System

2019 ◽  
Vol 608 ◽  
pp. 012020
Author(s):  
Qingcheng Chen ◽  
Xiang Wen ◽  
Shujie Lu ◽  
Dongxiao Sun
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Steel Structure ◽  
Image Processing System ◽  
Corrosion Detection ◽  
Large Steel

Digital Video Image Processing System For The High Speed Motion Film

1985 ◽  
Author(s):  
K. Kiyohashi ◽  
T. Eguchi ◽  
R. Tate ◽  
T. Kamimoto
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Digital Video ◽  
Processing System ◽  
Video Image ◽  
Image Processing System ◽  
Video Image Processing

Massive Image Treatment System Based on Cloud Computing Platform

2014 ◽  
Vol 687-691 ◽  
pp. 3733-3737
Author(s):  
Dan Wu ◽  
Ming Quan Zhou ◽  
Rong Fang Bie
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
High Performance ◽  
Large Scale ◽  
Processing System ◽  
Virtual Space ◽  
Image Processing System ◽  
Computing Platform ◽  
Simulation Calculation ◽  
Computer Resources

Massive image processing technology requires high requirements of processor and memory, and it needs to adopt high performance of processor and the large capacity memory. While the single or single core processing and traditional memory can’t satisfy the need of image processing. This paper introduces the cloud computing function into the massive image processing system. Through the cloud computing function it expands the virtual space of the system, saves computer resources and improves the efficiency of image processing. The system processor uses multi-core DSP parallel processor, and develops visualization parameter setting window and output results using VC software settings. Through simulation calculation we get the image processing speed curve and the system image adaptive curve. It provides the technical reference for the design of large-scale image processing system.

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