Earticle

초록

영어

Aiming at the low accuracy of stereo matching algorithm caused by the larger gray change, an improved algorithm is proposed. Sobel operator is used to compute the gradient of pixels. Based on the gradient histogram, the adaptive thresholds are derived and the support window is determined automatically. The neighbor pixels are compared with the average of all pixels in the window instead of the center pixel to complete the census transform. The disparity image is abtained through searching the best match point in the left and right images. The hardware implementation with parallel procssing is elaborately designed to improve the capability of the large data processing and computational efficiency based on FPGA. The experimental results show that the improved scheme and hardware structure can obtain disparity map with higher accuracy and stronger robustness.

목차

Abstract
 1. Introduction
 2. Description of Algorithm
  2.1. Calculation of Gradient Amplitude
  2.2. Adaptive Matching Window
  2.3 Improved Algorithm of Census Transform
 3. Hardware Implementation
  3.1. The Design of Cache Window
  3.2 Sobel Gradient Operator
  3.3 Design of Adaptive Threshold
  3.4 Stereo Matching
 4. Experimental Results Analysis
 5. Conclusion
 Acknowledgement
 References

키워드

저자

• Jianhui Han [ The college of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China ]
• Zhen Wu [ The college of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China ]
• Lanying Li [ The college of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China ]
• Ying Ji [ The college of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605