Image edge detection using model based artificial neural network
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this thesis, two package programs have been developed for reaching to the desired edge results in binary and gray level image using Matlab 6.5 programming language. Artificial and natural images might be selected for input to both of the package programs. Package program developed for binary level image finds the desired edges more rapidly by making less comparison than the traditional edge detection algorithms do. Package program developed for gray level image presents an efficient and reasonable solution to the edge detection problem by using model based artificial neural network architecture. Key Words: Edge Detection, image processing, object recognition, model-based artificial neural network
Author
Fatih Talu
How to Cite
Fatih Talu (Master Thesis). Image edge detection using model based artificial neural network, 2004, Fırat University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Fırat University
- Using social media as an integrated marketing communication tool(2018)
- Foundation of Dutch East İndia Company and her rising in İndonesia in the 17th century(2013)
- Color usage at Turkish Divan of Fuzûlî(2013)
- Transcript and evaluation of Number 317 Midyat Şer'iyye Record (Hicri 1328-1334 / G.C. 1910-1916)(2018)
- Examination of stress state between Doğanyol (Malatya) and Çelikhan (Adıyaman) on the east Anatolian fault zone(2020)
- Yavuzeli (Gaziantep) surrounding volcanic outcropping of rocks petrographic and geochemical features(2014)