(22) * << * >> * Russian * English * Content * All Issues

Cluster technology for the formation and parallel filtering of large images

S.B. Popov1,2, V.A. Soifer1,2, A.A. Tarakanov2, V.A. Fursov1,2

1 IPSI RAS – Branch of the FSRC "Crystallography and Photonics" RAS,
443001, Samara, Russia, Molodogvardeyskaya 151,
2 Samara National Research University, 443086, Samara, Russia, Moskovskoye Shosse 34

 PDF, 1658 kB

Pages: 75-78.

Full text of article: Russian language.

Abstract:
This paper considers two problems to be solved when processing large images. One of them is the problem of assessing and correcting image distortions caused by the influence of the optical system, CCD sensors and the dynamics of the vision-based measurement process. The other problem is the automatic alignment of image fragments by joint processing of overlapping areas (edges) of the neighboring source images. This paper discusses the possible technologies for generating and processing the images and describes the most efficient, in terms of acceleration, scheme for processing large images, implemented at the cluster of the Samara Scientific Center of the Russian Academy of Sciences.

Keywords:
cluster technology, large image, processing image, correcting image, optical system, CCD sensor.

Citation:
Popov SB, Soifer VA, Tarakanov AA, Fursov VA. Cluster technology for the formation and parallel filtering of large images. Computer Optics 2002; 23: 75-78.

References:
  1. Popov SB, Fursov VA. Cluster technology of conveyor filtering [In Russian]. Proceedings of the international conference "Mathematical modeling – 2001" 2001: 137-140.
  2. Soifer VA, Kotlyar VV, Fursov VA. Development of algorithms for realtime correction of distortions in images in optoelectronic location and strike systems [In Russian]. in Book: Modern design and test methods for weapon ordnance. Sarov: "VNIIEF" Publisher; 2000: 340-345.
  3. Soifer VA, ed. Methods of computer image processing [In Russian]. Moscow: "Fizmatlit" Publisher; 2001.
  4. Fursov VA. Identification of models of imaging systems for the small number of observations. Samara: SSAU Publisher; 1998.

© 2009, IPSI RAS
151, Molodogvardeiskaya str., Samara, 443001, Russia; E-mail: journal@computeroptics.ru ; Tel: +7 (846) 242-41-24 (Executive secretary), +7 (846) 332-56-22 (Issuing editor), Fax: +7 (846) 332-56-20