Automatic Image Mosaic Algorithm for Digital Planetary images
Challenge and Processing
(Sprache: Englisch)
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...
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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).
Autoren-Porträt von Mohammed Ismail, Loay E. George, Kamal M. Abood
Ismail, MohammedMohammed Ismail Abdalmajied: Born in 1981, Its B.Sc. in 2004, M.Sc. in 2007 and PhD in 2019 Degree in Astronomy and Space took from University of Baghdad / College of Science (Iraq). He is a Lecture in University of Baghdad / College of Science. Its interest in Image processing.
Bibliographische Angaben
- Autoren: Mohammed Ismail , Loay E. George , Kamal M. Abood
- 2019, 120 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200117276
- ISBN-13: 9786200117274
Sprache:
Englisch
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