원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.7 No.5
2014.09
pp.341-350
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, a method for indoor and outdoor scene classification is proposed based on the spectrum information of Fourier transform. Firstly, the image is divided into five partitions. The color, texture, and spectral information of each partition are extracted as feature vector. Each partition has a separate image feature vectors, so the image can be represented by this set of features. For the feature extraction stage, frequency information can be used to classify indoor and outdoor scene. Compared with other classification methods, classification accuracy of this method increased from 91% to 92%, experimental results show that the proposed method is effective.
목차
Abstract
1. Introduction
2. Edge and Color Orientation Histogram Algorithm
2.1. Image Segmentation
2.2. Edge Orientation Histogram (EOH)
2.3. Color Orientation Histogram (COH)
3. Based on the Fourier Transform Spectrum Extracting Feature
3.1. Fourier Transform of the Image
3.2. Signal Smoothness and Fourier Transform Relationship
3.3. The Difference of Fourier Spectral Curve of Indoor and Outdoor Image
3.4. Algorithm Flow
4. Experimental Results
5. Conclusions
Acknowledgements
References
1. Introduction
2. Edge and Color Orientation Histogram Algorithm
2.1. Image Segmentation
2.2. Edge Orientation Histogram (EOH)
2.3. Color Orientation Histogram (COH)
3. Based on the Fourier Transform Spectrum Extracting Feature
3.1. Fourier Transform of the Image
3.2. Signal Smoothness and Fourier Transform Relationship
3.3. The Difference of Fourier Spectral Curve of Indoor and Outdoor Image
3.4. Algorithm Flow
4. Experimental Results
5. Conclusions
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보