Image Classification Using Naive Bayes Classifier With Pairwise Local Observations
| Autor: | Chen, I-Chieh, 陳羿捷 |
|---|---|
| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 103 We present image classification method using Naive Bayes classifier using pairwise local observations (NBPLO) based on the salient region (SR) selection and the local feature detection. Different from previous image classification algorithms, our method is a scale, translation, and rotation invariant classification algorithm. By transforming the pairwise local observations into training vectors, we may simulate the human visual system by developing the training classification model based on the neighboring relationship of the selected SRs. We verify our assumptions with Scene-15 and Caltech-101 database and compare the difference of mainstream feature point detection methods. And also compare the experiment results of bag-of-features (BoF) and SPM algorithms. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
|