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Automatic Image Mosaicing:An Approach Based on FFT


Affiliations
1 Department of Electronics & Communication Engineering, SSSIST, Sehore, Madhya Pradesh, India
2 Department of Electronics & Communication Engineering, SPITM, Mandleshwer, Madhya Pradesh, India
 

In this paper, correlation-based scheme is used which operates in the Fourier domain for finding the transformed coordinates (translational and rotational parameters) and use them for Image Mosaicing. In many clinical studies, it is highly desirable to acquire images as whole sections whilst retaining a microscopic resolution. A usual approach of this is to create a composite image by appropriately overlapping individual images acquired at high magnification under a microscope. In view of this it has been calculated the translational parameters and proposed an algorithm for finding angle of rotation using Fourier Shift approach. Finally it shows merging of two images. This algorithm can be applied to all types of light microscopy imaging.

Keywords

Registration, Translation, Rotation, Mosaicing, Fourier Shift.
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  • Automatic Image Mosaicing:An Approach Based on FFT

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Authors

Durga Patidar
Department of Electronics & Communication Engineering, SSSIST, Sehore, Madhya Pradesh, India
Akshay Jain
Department of Electronics & Communication Engineering, SPITM, Mandleshwer, Madhya Pradesh, India

Abstract


In this paper, correlation-based scheme is used which operates in the Fourier domain for finding the transformed coordinates (translational and rotational parameters) and use them for Image Mosaicing. In many clinical studies, it is highly desirable to acquire images as whole sections whilst retaining a microscopic resolution. A usual approach of this is to create a composite image by appropriately overlapping individual images acquired at high magnification under a microscope. In view of this it has been calculated the translational parameters and proposed an algorithm for finding angle of rotation using Fourier Shift approach. Finally it shows merging of two images. This algorithm can be applied to all types of light microscopy imaging.

Keywords


Registration, Translation, Rotation, Mosaicing, Fourier Shift.