IAD Index of Academic Documents
  • Home Page
  • About
    • About Izmir Academy Association
    • About IAD Index
    • IAD Team
    • IAD Logos and Links
    • Policies
    • Contact
  • Submit A Journal
  • Submit A Conference
  • Submit Paper/Book
    • Submit a Preprint
    • Submit a Book
  • Contact
  • Turkish Journal of Electrical Engineering and Computer Science
  • Volume:22 Issue:4
  • A new edge-preserving algorithm based on the CIE- Lu`v` color space for color contrast enhancement

A new edge-preserving algorithm based on the CIE- Lu`v` color space for color contrast enhancement

Authors : Mohammad ZOLFAGHARI, Mehran YAZDI
Pages : 990-1006
Doi:10.3906/elk-1207-7
View : 15 | Download : 4
Publication Date : 0000-00-00
Article Type : Research Paper
Abstract :Image segmentation and edge detection are the most important presteps in machine vision, and their successfulness can affect the success of the next steps. In this paper, the performance of the Trahanias edge detector in different color spaces, such as RGB, YCbCr, HSI, and CIE Lu`v`, is compared in order to find the best color space for image segmentation and edge detection. We then offer an efficient edge-preserving algorithm for color contrast enhancement in the CIE Lu`v` space. The proposed algorithm can increase the color contrast, which causes a remarkable improvement in image segmentation and edge detection in the CIE Lu`v` color space. Moreover, it can efficiently reduce the number of spurious edges that may be produced during the color contrast enhancement process. The results obtained by applying the proposed algorithm, as compared with those by applying another recently introduced algorithm, demonstrate the better performance of the proposed algorithm.
Keywords : Edge detection, color space, color contrast enhancement, edge preserving, image saturation

ORIGINAL ARTICLE URL
VIEW PAPER (PDF)

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.


Index of Academic Documents
İzmir Academy Association
CopyRight © 2023-2025