Automatic image mosaic algorithm von ismail mohammed (5 Ergebnisse)

Paperback. Zustand: Brand New. 120 pages. 8.66x5.91x0.28 inches. In Stock.

Taschenbuch. Zustand: Neu. Automatic Image Mosaic Algorithm for Digital Planetary images | Challenge and Processing | Mohammed Ismail (u. a.) | Taschenbuch | 120 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200117274 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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). 120 pp. Englisch.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: 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 Ba. …

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.…