Automatic Image Mosaic Algorithm for Digital Planetary images

Zusatztext

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).

Autorenportrait

Mohammed 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.

Weitere Details