Abstract
Image stitching, which is a process of integration of multiple images to create a panoramic image using all contents fitted into one frame, finds wide-spread applications in medical, high resolution digital map, satellite and video imaging. This paper proposes a framework to develop panorama image with multiple images. The framework is an automatic process that takes multiple images, checks correlation of the sequential images and removes overlapping area if exists and creates the panorama.We have done experimentations using different image-sets consisting multiple images with and without overlapping and got satisfactory results.
Highlights
Image stitching is a system for creating panoramic images
Image stitching is usually applied in various applications, such as, X-ray image stitching, HDR (High Dynamic Range) image stitching, image stabilization, high resolution photo mosaics in satellite photos, medical imaging, digital maps, multiple-images with super-resolution, video stitching, microscopy image stitching, object insertion and group photographs/panoramas
A comprehensive evaluation on panorama creation methods is presented below: Adel et al [10] presented a feature-based image stitching based on ORB (Oriented FAST (Features from Accelerated Segment Test)) and Rotated BRIEF (Binary Robust Independent Elementary Features)
Summary
Moushumi Zaman Bonny and Mohammad Shorif Uddin Department of Computer Science and Engineering, Jahangirnagar University. Abstract—Image stitching, which is a process of integration of multiple images to create a panoramic image using all contents fitted into one frame, finds wide-spread applications in medical, high resolution digital map, satellite and video imaging. This paper proposes a framework to develop panorama image with multiple images. The framework is an automatic process that takes multiple images, checks correlation of the sequential images and removes overlapping area if exists and creates the panorama.We have done experimentations using different imagesets consisting multiple images with and without overlapping and got satisfactory results
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