Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jingxiu Ni"'
Publikováno v:
Symmetry, Vol 14, Iss 5, p 880 (2022)
To improve the recognition accuracy of coal gangue images with the back propagation (BP) neural network, a coal gangue image recognition method based on BP neural network and ASGS-CWOA (ASGS-CWOA-BP) was proposed, which makes two key contributions. F
Externí odkaz:
https://doaj.org/article/62579f8192d24bcb9f45aada8419d72e
Publikováno v:
Sensors, Vol 19, Iss 19, p 4320 (2019)
Recently, many related algorithms have been proposed to find an efficient wireless sensor network with good sustainability, a stable connection, and a high covering rate. To further improve the coverage rate of movable wireless sensor networks under
Externí odkaz:
https://doaj.org/article/35b486a894d240098e37dfb6b5aded04
Publikováno v:
Sensors
Volume 19
Issue 19
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 19, p 4320 (2019)
Volume 19
Issue 19
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 19, p 4320 (2019)
Recently, many related algorithms have been proposed to find an efficient wireless sensor network with good sustainability, a stable connection, and a high covering rate. To further improve the coverage rate of movable wireless sensor networks under
Publikováno v:
2018 International Conference on Information Systems and Computer Aided Education (ICISCAE).
An image segmentation algorithm based on fuzzy clustering and Spatial Pyramid is proposed in the paper. Firstly, the global color feature of the image is extracted. Secondly, the image under each scale is divided into several sub-blocks, and the feat
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030057541
SmartCom
SmartCom
An image segmentation algorithm based on Spatial Pyramid and visual salience is proposed in the paper. The segmentation algorithm is divided into five steps. The first step is extracting the global features of images to be processed. The second step
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9098b92f8c61332baed8baad795c8d59
https://doi.org/10.1007/978-3-030-05755-8_10
https://doi.org/10.1007/978-3-030-05755-8_10
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030057541
SmartCom
SmartCom
The paper proposed an image annotation algorithm based on semantic similarity and multi-feature fusion. The annotation algorithm draws lessons from the method of semantic extraction in natural language processing, and establishes the corresponding se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cadfbf570fa7b2806a7951ee4219f77a
https://doi.org/10.1007/978-3-030-05755-8_14
https://doi.org/10.1007/978-3-030-05755-8_14
Publikováno v:
2017 International Conference on Computer Systems, Electronics and Control (ICCSEC).
There exists semantic gap between the user demand and the image fusion process. In order to solve the problem, a semantic labeling model of images is proposed and an image fusion mechanism based on semantic annotation is presented. The fusion mechani
Publikováno v:
SmartCloud
Image fusion aims at integrating complementary or ambiguous information of different images. In order to bridge the semantic gap during the image fusion, a hierarchical semantic labeling model of images is proposed and an image fusion algorithm based