The automatic selection method for rectangle-bounding of image objects

T The automatic selection method for rectangle bounding of image objrcts exposed on the film is described, to optimize the image's size and increase the decoding efficiency. The image processing algorithm has been developed to improve the efficiency of grouping individual elements into a single structure. The simulation was carried out to prove the effectiveness of the proposed method. The main tool that has been used for developing the application is the open-source library of functions and algorithms of computer vision, image processing, and numerical algorithms of general-purpose OpenCV.

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Publication Details

Journal
Optoelectronic Information-Power Technologies
Published
2024-11-19
DOI
https://doi.org/10.31649/1681-7893-2024-48-2-58-67
Primary Topic
Medical Image Segmentation Techniques
Type
article
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article

The automatic selection method for rectangle-bounding of image objects

Oleksandr Poplavskyi, Oleksandr Reyda, M.O. Reyda
Optoelectronic Information-Power Technologies
Medical Image Segmentation Techniques
article

The automatic selection method for rectangle-bounding of image objects

Oleksandr Poplavskyi, Oleksandr Reyda, M.O. Reyda
article en

Abstract

T The automatic selection method for rectangle bounding of image objrcts exposed on the film is described, to optimize the image's size and increase the decoding efficiency. The image processing algorithm has been developed to improve the efficiency of grouping individual elements into a single structure. The simulation was carried out to prove the effectiveness of the proposed method. The main tool that has been used for developing the application is the open-source library of functions and algorithms of computer vision, image processing, and numerical algorithms of general-purpose OpenCV.

Optoelectronic Information-Power TechnologiesVol. 48(2)
Openalex Percentile: Top 80%
Medical Image Segmentation Techniques
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