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ITHEA Classification Structure > I. Computing Methodologies  > I.4 IMAGE PROCESSING AND COMPUTER VISION 
APPROXIMATION OF EXPERIMENTAL DATA BY BEZIER CURVES
By: Vishnevskey et al. (4728 reads)
Rating: (1.00/10)

Abstract: Very often the experimental data are the realization of the process, fully determined by some unknown function, being distorted by hindrances. Treatment and experimental data analysis are substantially facilitated, if these data to represent as analytical expression. The experimental data processing algorithm and the example of using this algorithm for spectrographic analysis of oncologic preparations of blood is represented in this article.

Keywords: graphics, experimental data, Besie's curves

ACM Classification Keywords: I.4 Image processing and computer vision - Approximate methods

Link:

APPROXIMATION OF EXPERIMENTAL DATA BY BEZIER CURVES

Vitaliy Vishnevskey, Vladimir Kalmykov, Tatyana Romanenko

http://www.foibg.com/ijita/vol15/ijita15-3-p06.pdf

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I.4 IMAGE PROCESSING AND COMPUTER VISION
article: MATRIX FEATURE VECTORS AND HU MOMENTS IN GESTURE RECOGNITION · STANDARDIZATION OF GEOMETRICAL CHARACTERISTICS IN GESTURE RECOGNITION · MATRIX FEATURE VECTORS IN SPEECH AND GESTURE RECOGNITION · DIGITAL ART AND DESIGN · APPROXIMATION OF EXPERIMENTAL DATA BY BEZIER CURVES ·
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