DocumentCode
304701
Title
Noise suppression based on the fractal dimension estimates
Author
Nikiel, Slawomir S.
Author_Institution
Dept. of Robotics & Software Eng., Tech. Univ. of Zielona Gora, Zielona Gora, Poland
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
193
Abstract
The paper draws on the problem of noise reduction in binary images. Noise suppression plays very important role in the automated document analysis, since corrupted pictures may drastically reduce efficiency of the recognition process. The fractal based technique is one of the most recent approaches in computer vision. The fractal dimension estimates are incorporated in a highly efficient filtering scheme. The method is presented along with the images illustrating the most promising results
Keywords
document image processing; filtering theory; fractals; image enhancement; interference suppression; automated document analysis; binary images; corrupted pictures; fractal dimension estimates; image filtering; noise reduction; noise suppression; Computer vision; Filtering; Fractals; Image recognition; Noise reduction; Pixel; Robotics and automation; Software engineering; Text analysis; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.560636
Filename
560636
Link To Document