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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2014

Approach to accurate circle detection: Circular Hough Transform and Local Maxima concept

The record

Type
Publication
Date
1 January 2014
Level
National
Journal
2014 International Conference on Electronics and Communication Systems Icecs 2014
Published
1 January 2014
DOI
10.1109/ecs.2014.6892577
Scopus ID
84908625968
Authors
4
Open access
No
Citations
33
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryModerate confidenceJudged

    Circular Hough Transform and local maxima optimization algorithm advances computer vision methodology for industrial object detection.

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.1 Research and development

    Sub-themePrimaryModerate confidenceJudged

    Image processing algorithm development contributes to research and development in computational methods.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Approach to accurate circle detection: Circular Hough Transform and Local Maxima concept”. Kortex.

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