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Journal ArticleDOI

A corner detection method based on adaptive multi-directional anisotropic diffusion

Junmin Bao, +4 more
- 31 Mar 2022 - 
- Vol. 81, Iss: 20, pp 28729-28754
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This article is published in Multimedia Tools and Applications.The article was published on 2022-03-31. It has received 2 citations till now. The article focuses on the topics: Computer science & Computer science.

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Citations
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Journal ArticleDOI

A defect detection system of glass tube yarn based on machine vision

TL;DR: Wang et al. as discussed by the authors proposed a defect detection system of tube yarn via combining machine vision and deep learning methods, which achieved 96% accuracy with 160+ FPS, and the surface stain detection algorithm achieved 0.89 mAP with 71+ FPS on the tube yarn dataset.
References
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Proceedings ArticleDOI

ImageNet: A large-scale hierarchical image database

TL;DR: A new database called “ImageNet” is introduced, a large-scale ontology of images built upon the backbone of the WordNet structure, much larger in scale and diversity and much more accurate than the current image datasets.
Journal ArticleDOI

Distinctive Image Features from Scale-Invariant Keypoints

TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Proceedings ArticleDOI

A Combined Corner and Edge Detector

TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Journal ArticleDOI

Scale-space and edge detection using anisotropic diffusion

TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
Journal ArticleDOI

Speeded-Up Robust Features (SURF)

TL;DR: A novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features), which approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.
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