Multilayer Neural Networks and Nearest Neighbor Classifier Performances for Image Annotation
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 11
Abstract
The explosive growth of image data leads to the research and development of image content searching and indexing systems. Image annotation systems aim at annotating automatically animage with some controlled keywords that can be used for indexing and retrieval of images. This paper presents a comparative evaluation of the image content annotation system by using the multilayer neural networks and the nearest neighbour classifier. The region growing segmentation is used to separate objects, the Hu moments, Legendre moments and Zernike moments which are used in as feature descriptors for the image content characterization and annotation.The ETH-80 database image is used in the experiments here. The best annotation rate is achieved by using Legendre moments as feature extraction method and the multilayer neural network as a classifier.
Authors and Affiliations
Mustapha OUJAOURA , Brahim MINAOUI , Mohammed FAKIR
Keywords
Related Articles
- EP ID EP87082
- DOI 10.14569/IJACSA.2012.031126
- Views 145
- Downloads 0
Link Prediction Schemes Contra Weisfeiler-Leman Models
Link prediction is of particular interest to the data mining and machine learning communities. Until recently all approaches to the problem used embedding-based methods which leverage either node similarities or latent g...
Anti-noise Capability Improvement of Minimum Energy Combination Method for SSVEP Detection
Minimum energy combination (MEC) is a widely used method for frequency recognition in steady state visual evoked potential based BCI systems. Although it can reach acceptable performances, this method remains sensitive t...
Priority Task Scheduling Strategy for Heterogeneous Multi-Datacenters in Cloud Computing
With the rapid development in science and technology, cloud computing has emerged to be widely adopted in several IT (Information Technology) areas. It allows for the companies as well as researchers to use the computing...
Supporting Self-Organization with Logical-Clustering Towards Autonomic Management of Internet-of-Things
One of the challenges for autonomic management in Future Internet is to bring about self-organization in a rapidly changing environment and enable participating nodes to be aware and respond to changes. The massive numbe...
Non-Linear Energy Harvesting Dual-hop DF Relaying System over n-µ Fading Channels
In this work, we analyze a wireless energy harvest-ing decode-and-forward (DF) relaying network with beamforming that is based on a practical non-linear energy harvesting model over η-μ fading channels. We consider a dua...