- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Remote Sensing Image Correction of Geometric Distortion By Using Outer Corners | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 24, Issue 3, 2013, Pages 75-82 | ||
| Author | ||
| Firas K.Abdulkareem | ||
| Abstract | ||
| In the current research work produce the development and performance evaluation of techniques for an automatic image registration and image geometric distortion. A feature point extraction method based on determined the outer corners in the reference and scene images, is proposed. This feature point extractor can handle images at different scaling, rotation and translation, by comparison image by image. Experimental results show that the extracted feature points are invariant to image scaling, rotation and translation. This algorithm is implemented for automatically registration of geometrically distorted images. Three main steps constitute the algorithm: extracting feature point (outer corners) by dividing the image into four parts and search every part by window 5×5 to obtained the corner, obtained the correspondence between the outer corners of the reference and the scene images, and estimating the affine transformation parameters between the first and the second images. Experimental results show that the proposed algorithm leads to sufficient registration accuracy using several types of skewed images. | ||
|
Statistics Article View: 42 PDF Download: 6 |
||