Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/5867
Title: Regional partitioned iterated function systems for digital image enhancement
Authors: Οικονομόπουλος, Θεόδωρος Λ.
Ασβεστάς, Παντελής Α.
Ματσόπουλος, Γεώργιος Κ.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Image enhancement;Image segmentation;Βελτίωση εικόνας;Κατάτμηση εικόνας
Subjects: Medicine
Biomedical engineering
Ιατρική
Βιοϊατρική τεχνολογία
Issue Date: 8-Feb-2015
2012
Publisher: IEEE
Abstract: A new technique is presented for enhancing the contrast of digital images. The proposed method is based on the regional application of the Partitioned Iterated Function Systems (PIFS) algorithm. The subject image is partitioned into domain regions, using a standard Region Growing approach. Each domain region is further partitioned into smaller range regions. In turn, each range region is transformed through a contractive affine spatial transform, as well as through a linear transform of the gray levels of its pixels. The PIFS is used in order to create a lowpass version of the original image, after processing each region. The contrast-enhanced image is obtained by adding the difference of the original image with its lowpass version, to the original image itself. The quantitative and qualitative results obtained, show that the proposed method achieves higher quality image enhancement, compared to two widely used contrast enhancement techniques.
Description: Proceedings
Language: English
Citation: Economopoulos, T., Asvestas, P. and Matsopoulos, G. (2012). Regional partitioned iterated function systems for digital image enhancement. In the 3rd International Conference on Image Processing Theory, Tools and Applications. Istanbul, 15th-18th October 2012. pp. 265-269. IEEE.
Conference: International Conference on Image Processing Theory, Tools and Applications
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/5867
Appears in Collections:Δημοσιεύσεις

Files in This Item:
File Description SizeFormat 
C51.pdf
  Restricted Access
1.03 MBAdobe PDFView/Open Request a copy


This item is licensed under a Creative Commons License Creative Commons