Image Stitching using Matlab
Manisha D. Wasnik

Manisha D. Wasnik, Department of Electrnics & Telecommunication, Dhole Patil College of Engineering, Wagholi Pune (Maharashtra), India.
Manuscript received on 6 April 2014 | Revised Manuscript received on 17 April 2014 | Manuscript Published on 30 April 2014 | PP: 44-46 | Volume-3 Issue-11, April 2014 | Retrieval Number: K15860431114/14©BEIESP
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Abstract: Images are an integral part of our daily lives. Image stitching is the process performed to generate one panoramic image from a series of smaller, overlapping images. Stitched images are used in applications such as interactive panoramic viewing of images, multi-node movies,mobile phones and other applications associated with modeling the 3D environment using images acquired from the real world. Feature matching, used in Specifically, image stitching presents different stages to render two or more overlapping images into a seamless stitched image, from the detection of features to blending in a final image. In this process, Scale Invariant Feature Transform (SIFT) algorithm[1]can be applied to perform the detection and matching control points step, due to its good properties. The process of create an automatic and effective whole stitching process leads to analyze different methods of the stitching stages. SIFT methods to extracting feature points, is the key of image mosaic. The advantages of SIFT is one of the most robust and the widely used image matching algorithms based on local features This paper describes the design and implementation of an image stitcher which can be used to join colour images.
Keywords: Seamless Stitched Image, Panoramic Image.

Scope of the Article: Image analysis and Processing