International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.5, No.6, May. 2013

Feature Based Image Mosaic Using Steerable Filters and Harris Corner Detector

Full Text (PDF, 729KB), PP.9-15

Views:98   Downloads:1


Mahesh,Subramanyam M .V

Index Terms

Mosaic image, RANSAC (Random Sampling Consensus), Image stitching, Steerable filters, Harris, KLT (Kanade-Lucas-Tomasi), FAST (Features from Accelerated Segment Test)


Image mosaic is to be combine several views of a scene in to single wide angle view. This paper proposes the feature based image mosaic approach. The mosaic image system includes feature point detection, feature point descriptor extraction and matching. A RANSAC algorithm is applied to eliminate number of mismatches and obtain transformation matrix between the images. The input image is transformed with the correct mapping model for image stitching and same is estimated. In this paper, feature points are detected using steerable filters and Harris, and compared with traditional Harris, KLT, and FAST corner detectors.

Cite This Paper

Mahesh,Subramanyam M .V,"Feature Based Image Mosaic Using Steerable Filters and Harris Corner Detector", IJIGSP, vol.5, no.6, pp.9-15, 2013.DOI: 10.5815/ijigsp.2013.06.02


[1]Satya Prakash Mallick. Feature Based Image Mosaicing, Department of Electrical and Computer Engineering, University of California, San Diego

[2]Soo-Hyun CHO, Yun-Koo CHUNG, Jae Yeon LEE Automatic Image Mosaic System Using Image Feature Detection and Taylor Series Proc. VIIth Digital Image Computing: Techniques and Applications, Dec. 2003.10-12.

[3]Naoki Chiba , Hiroshi Kano, Michihiko Minoh and Masashi Yasuda Feature-Based Image Mosaicing Systems and Computers in Japan, Vol. 31, No. 7, 2000 Translated from Denshi Joho Tsushin Gakkai Ronbunshi, Vol. J82-D-II, No. 10, October 1999, pp. 1581-1589

[4]C. Harris, M. Stephens. A combined corner and edgedetector, in Fourth Alvey Vision Conf., 1988, pp.147-151. 

[5]L. Kitchen, A. Rosenfeld. Gray level corner detection, Pattern Recognit. Lett. 1982,pp.95–102. 

[6]C. Tomasi and T. Kanade. Detection and tracking of point features, Technical Report CMU, April 1991

[7]Tinne Tuytelaars and Krystian Mikolajczyk. Local Invariant Feature Detectors: A Survey, Foundations and Trends In Computer Graphics and Vision Vol. 3, No. 3, 2007, pp.177–280

[8]Miroslav Trajkovii, Mark Hedley. Fast corner detection, Image and Vision Computing, 1998, pp.75-87.

[9]Freeman, W.T., Adelson, E.H.: The design and use of steerable filters. IEEE Trans. Pattern Anal.Mach. Intell. 13, 1991,pp. 891–906 

[10]Simoncelli, E.P., Freeman,W.T. The steerable pyramid: a flexible architecture for multi-scalederivative computation. InSecond Int'l Conf on Image Proc, vol. 3, Washington, DC, October 1995, pp. 444–447.

[11]M. A. Fischler, R. C. Bolles. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image nalysis and Automated Cartography, Communications of the ACM, 1981, pp. 381- 395.

[12]Krystian mikolajczyk and Cordelia schmid. Scale & Affin Invariant Interest Point Detectors, International Journal of Computer Vision 60(1), 2004, 63–8. 

[13]Cordelia S, Roger M and Christian B. Evaluation of Interest Point Detectors, International Journal of Computer Vision 37, 2 (2000) 151—172

[14]N. Sebea, et al. Evaluation of salient point techniques, Image and Vision Computing xx (2003)