2020 9th Mediterranean Conference on Embedded Computing (MECO) 2020
DOI: 10.1109/meco49872.2020.9134224
|View full text |Cite
|
Sign up to set email alerts
|

Method of Oriented Contour Detection on Image Using Lorentz Function

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 12 publications
0
2
0
Order By: Relevance
“…It demonstrated that the image using the CLAHE has improved the visual texture of the original image. [17][18][19]. The performance of various computational models in contour detection tasks has not been quantified and they have not been compared in complex visual tasks.…”
Section: Overview Of the Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…It demonstrated that the image using the CLAHE has improved the visual texture of the original image. [17][18][19]. The performance of various computational models in contour detection tasks has not been quantified and they have not been compared in complex visual tasks.…”
Section: Overview Of the Systemmentioning
confidence: 99%
“…The contours are very useful for shape analysis, object detection and recognition. There are many contours detection techniques such as the Combination of Receptive Fields model (CORF), Gabor function model, multiple-cue inhibition operator[17][18][19]. The performance of various computational models in contour detection tasks has not been quantified and they have not been compared in complex visual tasks.…”
mentioning
confidence: 99%