source: IOP Conference Series Materials Science and Engineering
Abstract
Image classification plays an important rule for other image domains such as image retrieval, object recognition, image annotation and relevance feedback. In this paper, we describe our work in image classification using Multi Texton Histogram (MTH) and Probabilistic Neural Network (PNN). The result shows that the proposed method reaches 92% accuracy for Batik dataset and 98% for Brodatz dataset. This indicates that the use of MTH and PNN for image classification for Batik dataset and Brodatz dataset are effective.
Concepts :
Face and Expression Recognition
Advanced Image and Video Retrieval Techniques
Image Retrieval and Classification Techniques
article
cite 27
Year 2016
source IOP Conference Series Materials Science and Engineering
Citations by Year
| Year | Count |
|---|---|
| 2016 | 27 |