Earticle

초록

영어

Identifying the interest points in an image is a key step in image processing and computer vision tasks. Every corner of the images represents a lot of information. Extracting the true corners is the main object to image processing, which can reduce much of the time and calculations. Many algorithms have been suggested in the image processing to detect the true corners, based on the robust statistics. In this paper the corner detection algorithms SIFT and FAST have been studied in image processing under the various image formats. Also, it can provide a direction to the researchers to use the algorithm for the suitable image format and to develop a new algorithm which can detect the exact corners of an image/blurred image. The FAST corner detection method compared with the results of SIFT corner detection method. Experimental results show that the FAST corner detection gives better results compared to SIFT method. All the experiments are carried out MATLAB software.

목차

Abstract
 1. Introduction
 2. Corner Detection Algorithms
  A. SIFT Corner Detection Algorithm
  B. FAST Corner Detection
 3. Experimental Results
 4. Summary and Discussion
 References

키워드

저자

• Muthukrishnan, R [ Assistant Professor Department of Statistics, Bharathiar University, Coimbatore, India ]
• Ravi, J [ Assistant Professor Department of Statistics, PGP College of Arts &Science, Namakkal, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605