Automatic Panoramic Image Stitching Using Invariant Features

Image Stitching of the Computed Radiology images Using a Pixel-Based Approach

In this paper, a method for automatic stitching of radiology images based on pixel features has been presented. In this method, according to the smooth texture of radiological images and in order to increase the number of the extracted features after quality enhancement of initial radiology images, 45 degree isotropic mask is applied to each radiology image to observe the image details. After t...

A Novel Approach for Generation of Panoramic View

Panoramic image stitching is the process of combining multiple photographic images with overlapping fields of view to produce a panorama. First, salient features are robustly detected from the input images by a robust algorithm called Scale Invariant Feature Transform (SIFT). SIFT features are invariant to rotation, translation, image scaling and partially invariant to 3D viewpoint, illuminatio...

A Method for Generation of Panoramic View based on Images Acquired by a Moving Camera

Panoramic photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a panorama. The process to generate a panoramic view can be divided into three main components image acquisition, image registration, and blending. In this paper, a robust algorithm called Scale Invariant Feature Transform (SIFT) used to extract the features from the ima...

Automatic Panoramic Image Stitching

An Algorithm for Seamless Image Stitching and Its Application

Panoramic image stitching used to create virtual environments for many applications is crucial for IBR. In this paper, we introduce a four-step algorithm based on SIFT features which makes some improvements on large exposure difference, large scene motion or other misregistrations when stitching panoramic images. We introduce a new method that is to add the adjacent images according to a weight...