- 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
Contrast Enhancement of Object based on Top-Hat Transformation | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 24, Issue 5, 2013, Pages 345-356 | ||
| Author | ||
| Amel Hussain | ||
| Abstract | ||
| Mathematical Morphology is a theory which provides a number of useful tools for image analysis. Correction of non-uniform illumination in images is needed as apreprocessing step in various applications.In our proposed approach the Top-Hat transform is used. Top-Hat transformation operated in morphology which is used in image contrast enhancement, for extracting small or narrow, bright or dark features in an image. In this paper we proposed an approach to contrast enhancement by using Top-Hat filtering with different structuring element lengths and orientations (0, 45, and 90) of gray-scale of size (512x512) represented by 8 bit/pixel and x-ray color of size (370x370) images. We used different orientation to reach all the entire pixels in neighbor. The experimental results show how the different lengths and orientations are affected on the illuminate of images. Therefore we applied some post-processing after top-hat filtering by using an adaptive mask to enhance the resultant images | ||
|
Statistics Article View: 134 PDF Download: 26 |
||