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Kvyetnyy et al., 2017 - Google Patents

Object detection in images with low light condition

Kvyetnyy et al., 2017

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Document ID
12102069485367966558
Author
Kvyetnyy R
Maslii R
Harmash V
Bogach I
Kotyra A
GrÄ…dz Å
Zhanpeisova A
Askarova N
Publication year
Publication venue
Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017

External Links

Snippet

Images acquired by computer vision systems under low light conditions are characterized by the existence of noises. As a rule, it results in decreasing object detection rate. To increase the object detection rate, the proper image preprocessing algorithm is needed. The paper …
Continue reading at ir.lib.vntu.edu.ua (PDF) (other versions)

Classifications

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    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • G06K9/52Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527Scale-space domain transformation, e.g. with wavelet analysis
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    • G06K9/62Methods or arrangements for recognition using electronic means
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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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    • G06K9/4671Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
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    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • GPHYSICS
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    • G06K9/32Aligning or centering of the image pick-up or image-field
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    • GPHYSICS
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