Studying the Coefficient Curvelet for Aerial Image Segmentation
| Autor: | Khalil I. Alsaif, Nagham A. Sultan |
|---|---|
| Jazyk: | arabština |
| Rok vydání: | 2020 |
| Předmět: |
aerial image
Computer science business.industry directional filter bank lcsh:Mathematics Curvelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Medicine curvelet transform lcsh:QA1-939 lcsh:QA75.5-76.95 Curvelet pyramidal directional filter banks curvelet coefficient Computer vision Segmentation Artificial intelligence lcsh:Electronic computers. Computer science business Aerial image |
| Zdroj: | Al-Rafidain Journal of Computer Sciences and Mathematics, Vol 14, Iss 1, Pp 83-95 (2020) |
| ISSN: | 2311-7990 1815-4816 |
| Popis: | Currently, there are many approaches for image transformations that are developed to cover the new technology in the huge amount of data treatment. In this paper, a study on Curvelet transformation coefficients was performed based on the aerial image to apply segmentation. This paper applies a lot of modifications on cut off frequencies on the filters, which is used to decompose the image on curvelet transformation. Two approaches are proposed and tested to look for the best segmentation result; the first one is based on designing filters manually, while the second evaluates the filter coefficients depending on the selected shape of the filters. The first technique gives acceptable segmentation and the second reaches the optimal result. One of the most important results is that the cut of frequency has a high effect on the segmentation; in addition, choosing filter parameters depended on the coefficients dimension of the curvelet transformation. Finally, the results show that the first approach underperformed the second one. |
| Databáze: | OpenAIRE |
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