Image mosaicking or image stitching is a process of combining two or more images to create a large panoramic image.
The resultant image can also be used for texture mapping of a 3D environment. Consider the case of images taken from a normal
camera. We can convert those images in to mosaicked image using mosaicking technique. This paper presents a new method of image
mosaicking based on SURF and VORONOI. SURF algorithm is used to extract features from the input images. Then the input images
are subdivided in to regions based on VORONOI method. In order to match the regions from VORONOI, ZNCC (Zero Mean
Normalized Cross Correlation) method is used and geometric transformation of input images are calculated based on that value the
two images are merged together to form mosaicked image. Finally to create a natural-looking mosaics, a quasi homography warp is
applied, which balances the perspective distortion against projective distortion in non-overlapping region. This method helps to reduce
projection time and execution time. It is faster than traditional mosaicking algorithms.
Published In:IJCSN Journal Volume 6, Issue 3
Date of Publication : June 2017
Pages : 313-319
Tables : 01
Arya Vijayakumaran Nair : received the B. Tech degree in
Information Technology from M. G University, Kerala, India, in
2012, and currently doing M. Tech in Cyber Security in MET’S
School of Engineering, Mala – APJ Abdul Kalam Technological
University, Kerala, India.
Dr. D. Loganathan : is a Professor and Head of Computer Science
and Engineering department in MET’S School of Engineering,
Mala, Trissur, Kerala. After his B.E., and M.E degree, he
accomplished a doctoral degree from Anna University, Chennai,
India. He has more than 20 years of teaching experience and
having 8 years of research experience in engineering field. His
research interest includes Wireless Communication, Wireless Ad
hoc Networks and Image Processing. He has published several
research papers in various international journals.
Asha. S : is an Assistant professor in MET’S School of Engineering
Mala, Thrissur, Kerala. Received the Btech degree in Govt.
Engineering College Idukki, Kerala and M.Tech from Anna
University. She has more than 4 years of teaching experience.
Subject of interest are programming languages such as C, C++,
Theory of computation, Compiler design.
Image mosaicking, feature extraction, direct methods, SURF, VORONOI, ZNCC
An improved method of image mosaic based on
VORONOI regions and SURF algorithm is proposed here.
In this method the control pints from two input images are
extracted using SURF algorithm. VORONOI method is
used to divide the images in different regions based on the
control points. Then using ZNCC correlation VORONOI
region matching is performed. Finally geometric
transformation is calculated between the two images, for
this the regions with highest correlation scores is selected
and the input images are overlapped to get the desired
mosaicked. To create a natural-looking mosaics, a quasi
homography warp is applied, which balances the
perspective distortion against projective distortion in nonoverlapping
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