.png){kind=icon}
.png){kind=icon}
Return
MSIP: Multi-scale image pre-processing method applied in image mosaic
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-017-4659-0.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Mosaic reconstruction is a stitching process of multiple images, of a particular scene, in a single frame that provides a larger amount of information compared to the separate images. Nowadays, image mosaic is a key tool that has invaded different fields and disciplines such as photography, virtual environment, medicine, etc. In this work, we propose a new pre-processing approach of multi-scale images we have named MSIP (Multi-Scale Image Pre-processing), invariant to scale changes and based on the distance between the matched points detected by SIFT. Its main purpose is to correct the scale difference between images to reduce outliers and alignment errors. The experimentation and statistical analysis, on a real database, show the robustness of our approach by improving the quality of mosaic results.
Keywords:
Panorama
Mosaic
Zoom
Multi-scale
Geometric solution
Ransac
Stitching
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3
Papers:
1.9W
Citations:
3.2W