Automatic Image Mosaic Algorithm for Digital Planetary images: Challenge and Processing - Kamal M. Abood,Mohammed Ismail,Loay E. George
-25% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
Image mosaic relies on image matching and registration. The good image mosaic depends on good acquiring the best match features between images or Sift-points. Images of solar planets suffer from lack of information with low contrast that may influence on good matching as compared to Earth images. A new algorithm is present in this book for planetary image mosaic which alleviates this challenge. First, a pro ... Täydellinen kuvaus
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Kuvaus
Image mosaic relies on image matching and registration. The good image mosaic depends on good acquiring the best match features between images or Sift-points. Images of solar planets suffer from lack of information with low contrast that may influence on good matching as compared to Earth images. A new algorithm is present in this book for planetary image mosaic which alleviates this challenge. First, a program is build to compensate for some of the geometric distortion (rotation and scale effects). Second, an algorithm is submitting for detecting a match Sift-points between images that depends on the morphological operation. A registration with warpping and blending operations is compute to complete the image mosaic. This procedure is test and execute on images of Earth (Landsat 8 oli images).
Lisätietoja
| Kirjoittaja | Kamal M. Abood, Mohammed Ismail, Loay E. George |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2019 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9786200117274 |