The week's pick
Random Articles
Reseach Article
Image Histogram Segmentation by Multi-Level Thresholding using Hill Climbing Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 35 - Number 1 |
| Year of Publication: 2011 |
| Authors: Sayantan Nath, Dr. Sonali Agarwal, Qasima Abbas Kazmi |
10.5120/4369-6028
|
Sayantan Nath, Dr. Sonali Agarwal, Qasima Abbas Kazmi . Image Histogram Segmentation by Multi-Level Thresholding using Hill Climbing Algorithm. International Journal of Computer Applications. 35, 1 ( December 2011), 63-72. DOI=10.5120/4369-6028
Abstract
Image Segmentation is as essential technique in image processing area to distinguish important object from unnecessary background substrates. Most of the image segmentation methods are based on the “Cloud Histogram” or Density Variation Concept which cannot be capable to work with individual value of the histogram of image. The “Hill Climbing” based Multilevel Thresholding technique will overcome the limitation and it is applicable to the value of image histogram directly to recognize the absolute pitch point turn over. This technique is based on individual value of histogram column. The highest folds of the image histogram curve play a major role in graphical resolution and visual orientation. This research perspective is not given importance in the field of histogram clustering yet.
References
- Glasbey, Yin Zuink, C.A., “An Analysis of Histogram Based Thresholding Algorithm”, 2003.
- Fan.S.K, Tsai Yen, S.K.Gonsal, “A New Criterion for Automatic Multilevel Thresholding”, 2008.
- Zaraha E, F.J.Chang and G.Bilbro, “Optimal Multi-Thresholding Using Hybrid Optimization Approach”, 2005.
- Renders J.M, S.P.Flasse, “Hybrid Method for Genetic Algorithm for Global Optimization”, 2006.
- Alexandre Temporel, Tim Kovacs; “A heuristic hill climbing algorithm for Mastermind”, http://www.cs.bris.ac.uk/Publications/Papers/2000067.pdf
- Kishor Bhoyar, Omprakash Kakde; “Color Image Segmentation Based On JND Color Histogram”; International Journal of Image Processing (IJIP) Volume(3), Issue(6).
- St´ephanie Jehan-Besson, Michel Barlaud, Gilles Aubert, Olivier Faugeras; “Shape Gradients for Histogram Segmentation using Active Contours”; Proceedings of the Ninth IEEE International Conference on Computer Vision (ICCV 2003), Volume – 2.
- Dr. Sonali Agarwal, and Prof. G.N. Pandey, “Studies on E Governance in India using Data Mining Perspective”, Journal of Computing, Volume 2, Issue 10, October 2010
- Source of Application image – “http://bio.ltsn.ac.uk/imagebank/default.aspx”.
Index Terms
Keywords