NEU GRAND LIBRARY
Opening Hours: Monday-Saturday, 08:00-20:00 | E-mail: library@neu.edu.tr
 

You are not logged in Show Basket
  Home     Advanced Search     Back  
Print
Add to Basket
  Brief display     MARC Display     Reserve  
Optimal scale edge detection utilizing noise within images. (Khashman, Adnan,)
Bibliographical information (record 270151)
Help
Optimal scale edge detection utilizing noise within images.
Author:
 Khashman, Adnan, Search Author in Amazon Books

Publisher:
Int. Inst. Informatics & Systemics,
Edition:
 2002.
Classification:
 QA76
Detailed notes
    - Edge detection techniques have common problems that include poor edge detection in low contrast images, speed of recognition and high computational cost. An efficient solution to the edge detection of objects in low to high contrast images is scale space analysis. However, this approach is time consuming and computationally expensive. These expenses can be marginally reduced if ail optimal scale is found in scale space edge detection. This paper presents a new approach to detecting objects within images using noise within the images. The novel idea is based on selecting one optimal scale for the entire image at which scale space edge detection can be applied. The selection of an ideal scale is based on the hypothesis that "the optimal edge detection scale (ideal scale) depends on the noise within an image". This paper aims at providing the experimental evidence oil the relationship between the optimal scale and the noise within images.
Related links
Items (1)
Barcode
Status
Library
Section
EOL-1755
Item available
NEU Grand LibraryOnline (QA76 .O68 2002)
Online electronic
NEAR EAST UNIVERSITY GRAND LIBRARY +90 (392) 223 64 64 Ext:5536. Near East Boulevard, Nicosia, TRNC
This software is developed by NEU Library and it is based on Koha OSS
conforms to MARC21 library data transfer rules.