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Proceedings Paper

Automatic processing, analysis, and recognition of images
Author(s): Victor Sergeyevich Abrukov; Evgeniy Vladimirovich Smirnov; Dmitriy Gennadyevich Ivanov
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Paper Abstract

New approaches and computer codes (A&CC) for automatic processing, analysis and recognition of images are offered. The A&CC are based on presentation of object image as a collection of pixels of various colours and consecutive automatic painting of distinguished itself parts of the image. The A&CC have technical objectives centred on such direction as: 1) image processing, 2) image feature extraction, 3) image analysis and some others in any consistency and combination. The A&CC allows to obtain various geometrical and statistical parameters of object image and its parts. Additional possibilities of the A&CC usage deal with a usage of artificial neural networks technologies. We believe that A&CC can be used at creation of the systems of testing and control in a various field of industry and military applications (airborne imaging systems, tracking of moving objects), in medical diagnostics, at creation of new software for CCD, at industrial vision and creation of decision-making system, etc. The opportunities of the A&CC are tested at image analysis of model fires and plumes of the sprayed fluid, ensembles of particles, at a decoding of interferometric images, for digitization of paper diagrams of electrical signals, for recognition of the text, for elimination of a noise of the images, for filtration of the image, for analysis of the astronomical images and air photography, at detection of objects.

Paper Details

Date Published: 2 November 2004
PDF: 6 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.562515
Show Author Affiliations
Victor Sergeyevich Abrukov, Chuvash State Univ. (Russia)
Moscow State Open Univ. (Russia)
Evgeniy Vladimirovich Smirnov, Chuvash State Univ. (Russia)
Moscow State Open Univ. (Russia)
Dmitriy Gennadyevich Ivanov, Chuvash State Univ. (Russia)
Moscow State Open Univ. (Russia)


Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

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