Abstract
This article considers edge detection using neural network approach, and describes the integration of neural networks into a committee. The novelty of the proposed technique comes from two ideas: firstly, since the training set describes a solution, the proposed algorithm is able to detect multidirectional edges on noised image. Secondly, to increase the accuracy of detection, neural networks were combined into a committee.
| Original language | English |
|---|---|
| Pages | 66-69 |
| Number of pages | 4 |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 28th International Conference on Computer Graphics and Vision, GraphiCon 2018 - Tomsk, Russian Federation Duration: 24 Sep 2018 → 27 Sep 2018 |
Conference
| Conference | 28th International Conference on Computer Graphics and Vision, GraphiCon 2018 |
|---|---|
| Country | Russian Federation |
| City | Tomsk |
| Period | 24.9.18 → 27.9.18 |
Keywords
- Committee classification
- Digital image
- Edge detection
- Neural network
- Neural network committee
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
Fingerprint Dive into the research topics of 'Edge detection using neural network committee'. Together they form a unique fingerprint.
Cite this
Oliva, D., Anton, D., & Maria, D. (2018). Edge detection using neural network committee. 66-69. Paper presented at 28th International Conference on Computer Graphics and Vision, GraphiCon 2018, Tomsk, Russian Federation.