Name
Title | ||
|---|---|---|
Dynamic Mosaicking: Combining A* Algorithm With Fractional Brownian Motion For An Optimal Seamline Detection |
Abstract | ||
|---|---|---|
Image mosaicking is a combination of algorithms that use two or several images to create a single image. The resulting mosaic is a representation of a scene of the used images with a larger field of vision. However, since dynamic objects can exist in the overlap regions of these images, ghosting and parallax effects appear, therefore poor results are obtained. To overcome these unwanted effects and to achieve better results, a new method is presented in this paper. This approach uses a new way to detect dynamic objects in the common areas by using a fractional Brownian motion with a predetermined similarity function instead of a noise function, the Zero Normalized Cross Correlation. Thus, it will ensure that a map is created with each pixel having a unique value based on their surroundings even in homogeneous areas. Furthermore, this new approach combines the previously computed map with the machine learning algorithm A* for a fast and efficient way to find an optimal seamline. Consequently, the obtained experimental results were compared with different methods and better results were obtained as can be seen by a better quality seamline measure, a result mosaic without any artifacts and a faster computation time. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1049/iet-ipr.2019.1619 | IET IMAGE PROCESSING |
Keywords | DocType | Volume |
learning (artificial intelligence), object detection, image segmentation, Brownian motion, dynamic mosaicking, fractional Brownian motion, optimal seamline detection, image mosaicking, single image, resulting mosaic, dynamic objects, overlap regions, ghosting, parallax effects, unwanted effects, predetermined similarity function, noise function, zero normalised cross-correlation, computed map, quality seamline measure, A* machine learning algorithm | Journal | 14 |
Issue | ISSN | Citations |
13 | 1751-9659 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saadeddine Laaroussi | 1 | 0 | 1.01 |
| Aziz Baataoui | 2 | 0 | 1.01 |
| Akram Halli | 3 | 1 | 3.06 |
| Khalid Satori | 4 | 42 | 16.75 |