Extraction scenes point features on noisy digital images

Konstantin Rumyantsev; Sergey Kravtsov

doi:10.1117/12.2245074

29 August 2016 Extraction scenes point features on noisy digital images

Konstantin Rumyantsev, Sergey Kravtsov

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100330A (2016) https://doi.org/10.1117/12.2245074
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

The efficiency of the detector point features to a stationary uncorrelated noise digital television image analysis is produced. Two methods to improve the reliability of the isolation characteristics of the scene on digital images in a stationary uncorrelated noise are presented. The requirements to ensure the necessary level of signal/noise ratio for effective computer analysis of the scene on the image detector television spot features are given. The research results will improve the effectiveness of computer analysis of the scene on the TV picture in the autonomous local navigation and positioning complexes based on vision systems in stationary uncorrelated noise.

Citation Download Citation

Konstantin Rumyantsev and Sergey Kravtsov "Extraction scenes point features on noisy digital images", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330A (29 August 2016); https://doi.org/10.1117/12.2245074

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