Algorithm for detecting objects and specialized tags in low light conditions and low camera resolution

Evgenii Semenishchev; Marina Zdanova; Andrey Alepko; Viacheslav Voronin

doi:10.1117/12.3023940

6 June 2024 Algorithm for detecting objects and specialized tags in low light conditions and low camera resolution

Evgenii Semenishchev, Marina Zdanova, Andrey Alepko, Viacheslav Voronin

Proceedings Volume 13000, Real-time Processing of Image, Depth, and Video Information 2024; (2024) https://doi.org/10.1117/12.3023940
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Conference Poster

Abstract

The article proposes an approach to the development of computationally simple and fast algorithms for data preprocessing and the selection of stable features. The following algorithms are used: 1. a modified method of multicriteria processing in local windows. The method is based on minimizing the objective function, which allows both to reduce the noise component in locally stationary areas and to preserve and strengthen the transition boundaries; 2. The method of reducing the scope of clusters allows you to change the number of color histograms with the absorption of nearby areas and preservation of objects; 3. The method of non-local change in color balance allows you to select areas on a dark/light background when the color balance is shifted; 4. Edge detector based on the analysis of local areas in various data layers.

The effectiveness test was carried out on a set of test images obtained by the flip chip machine, images by a microcircuit analyzer, as well as data from the product production line. The analyzation frames had low resolution and poor lighting. Images are captured in RGB color space.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Evgenii Semenishchev, Marina Zdanova, Andrey Alepko, and Viacheslav Voronin "Algorithm for detecting objects and specialized tags in low light conditions and low camera resolution", Proc. SPIE 13000, Real-time Processing of Image, Depth, and Video Information 2024, (6 June 2024); https://doi.org/10.1117/12.3023940

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