Kvyetnyy et al., 2017 - Google Patents
Object detection in images with low light conditionKvyetnyy et al., 2017
View PDF- 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 …
- 238000001514 detection method 0 title abstract description 50
Classifications
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
- G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
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- G—PHYSICS
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
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