International Journal of Computer
Trends and Technology

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Volume 3 | Issue 4 | Year 2012 | Article Id. IJCTT-V3I4P113 | DOI : https://doi.org/10.14445/22312803/IJCTT-V3I4P113

A Comprehensive Image Segmentation Approach For Image Registration

R.V.Prasad CH, S.Suresh

Citation :

R.V.Prasad CH, S.Suresh, "A Comprehensive Image Segmentation Approach For Image Registration," International Journal of Computer Trends and Technology (IJCTT), vol. 3, no. 4, pp. 480-483, 2012. Crossref, https://doi.org/10.14445/22312803/IJCTT-V3I4P113

Abstract

Image registration is the technique of transforming different sets of data all in one coordinate system. Automatic image registration remains a real challenge in various fields like computer vision and remote sensing applications. Within this project, a way for automatic image registration through histogram-based image segmentation is proposed. This new approach mainly consists in utilizing the pair of images that should be registered are segmented, according to a relaxation parameter by the histogram modes delineation (a new approach), followed by a regular characterization of one`s extracted objects through objects area, ratio between the axis as to the adjust ellipse, perimeter and fractal dimension but a robust statistical based technique of objects matching. The most ideal aim of this proposed methodology is tested to simulated rotation and translation. The very first dataset consists in a photograph along with a rotated and shifted aspect of precisely the same photograph, with different stages of added noise. This lets for the registration of pairs of images with differences in rotation and translation.

Keywords

Wireless Sensor Network (WSN); Speech-recognition, Power-Point; ARM7 based LPC2148 MC.

References

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