Earticle

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

키워드

저자

• Zhijie Zhao [ School of Computer and Information Technology, Harbin University of Commerce Harbin, Heilongjiang, China ]
• Haitao Wang [ School of Computer and Information Technology, Harbin University of Commerce Harbin, Heilongjiang, China ]
• Xuesong Jin [ School of Computer and Information Technology, Harbin University of Commerce Harbin, Heilongjiang, China ]
• Huadong Sun [ School of Computer and Information Technology, Harbin University of Commerce Harbin, Heilongjiang, China ]
• Qian Wu [ School of Computer and Information Technology, Harbin University of Commerce Harbin, Heilongjiang, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605