Image Mosaicing Using Binary Edge Detection
Proceeding: The International Conference on Computing Technology and Information Management (ICCTIM)Publication Date: 2014-04-09
Authors : Inad Aljarrah; Abdullah Al-Amareen; Abdelrahman Idries; Osama Al-Khaleel;
Page : 186-190
Keywords : Image Mosaicing; Panorama; Corresponding Points; Edge Detection; Image Matching;
Abstract
Image mosaicing (panoramic imaging) is a key concept in image processing field. Essentially, it works by combining two or more images by stitching them together so that they look as one image. The main issue in image mosaicing is the alignment between the corresponding points so that overlapping regions between combined images are not repeated. The aim of images mosaicing research is concentrated on solving problems arising through different image mosaicing techniques. In this paper, a new technique that uses the edge profile of images to determine the corresponding points, then the overlapping region and the connecting curve which will stitch the two images to create the resulting mosaic image is determined. The approach is simple and easy to implement but still delivers promising results.
Other Latest Articles
- High Security Number Plate Recognition System with Different Filtering Techniques for Image Enhancement
- Coloured Petri Net Model for Vector-Based Forwarding Routing Protocol
- Performance Comparison of Scheduling Algorithms for Real-Time Applications over WiMAX Networks
- Risk-Based Code Smells Detection Tool
- A Methodology for Software Test-Case Selection in Constrained Environments Using Desirability Functions
Last modified: 2014-04-14 18:12:59