Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

Enhanced the Performance of Remote Sensing Color Image Segmentation by using L0 Gradient Minimization and DBPTGMF

Print
PDF
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 105 - Number 16
Year of Publication: 2014
Authors:
Rozy Kumari
Narinder Sharma
10.5120/18465-9834

Rozy Kumari and Narinder Sharma. Article: Enhanced the Performance of Remote Sensing Color Image Segmentation by using L0 Gradient Minimization and DBPTGMF. International Journal of Computer Applications 105(16):43-47, November 2014. Full text available. BibTeX

@article{key:article,
	author = {Rozy Kumari and Narinder Sharma},
	title = {Article: Enhanced the Performance of Remote Sensing Color Image Segmentation by using L0 Gradient Minimization and DBPTGMF},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {105},
	number = {16},
	pages = {43-47},
	month = {November},
	note = {Full text available}
}

Abstract

Image segmentation is the separation of an image into sections or groups, which correspond to various objects or division of objects. After analyzing and going through the literature survey, the various gaps in study have been found like not much work have done over mixed regions and the effect of color have been neglected by various researchers. So to overcome these kinds of problems new methodologies have been proposed. A new hybrid image segmentation by using FELICM, L_0 gradient minimization and the progressive switching median filter has been proposed in this paper. The proposed algorithm has been designed and implemented in MATLAB using image processing toolbox. The experimental results have shown that the proposed method has been more suitable for obtaining the better quality of the image than the most of the existing methods.

References

  • Patel, Chirag, Atul Patel, and Dipti Shah. "Threshold Based Image Binarization Technique for Number Plate Segmentation. " International Journal 3, no. 7 (2013).
  • Jie Feng, L. C. Jiao, Xiangrong Zhang, Maoguo Gong, Tao Sun, "Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation. " Signal Processing, Volume 93, Issue 2, March 2013.
  • Manju, Dr. M. Seetha, and K. Venugopala Rao, "Comparison Study of Segmentation Algorithms for Brain Tumor Detection" IJCSMC, Vol. 2, Issue. 11, November 2013, pg. 261 – 269 (2013)
  • Madasu Hanmandlu, Om Prakash Verma, Seba Susan, V. K. Madasu, "Color Segmentation by Fuzzy co-clustering color features. " Neurocomputing, volume 120, November 2013.
  • Amanjot Kaur Randhawa, Dr. Rajiv Mahajan, "Evaluating the Short Comings of Clustering based Segmentation Algorithms"(2014)
  • Pankaj Jain, Dr. Mohan Awasthy. "Automatic Obstacle Detection using Image Segmentation. " International Journal of Emerging Technology and Advanced Engineering, Volume 4, Issue 3, March (2014).
  • Dr. Rajiv Mahajan, Amanjot Kaur Randhawa, "An Improved Approach towards Image Segmentation Using Mean Shift and FELICM. " International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 7,
  • Kelvin J. Bhalodiya, Prof. Kaushal doshi, Kelvin, "Performance evaluation of different Segmentation algorithms for Underwater and Arial images. " International Journal of Research in Computer and Communication Technology, Vol 3, Isue 1, January- 2014.
  • Ramya, Jemimah Simon, "Image Segmentation Using FELICM Clustering Method. " International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 (01st March 2014).
  • R. Ilanthiraiyan, V. M. Navaneetha Krishnan, "Spatial clustering method for satellite image segmentation"(2014)
  • Shivendra Singh, Manish Soni, Ravi Shankar Mishra, "Segmentation of Underwater Objects using CLAHE Enhancement and Thresholding with 3-class Fuzzy C-Means Clustering. " International Journal of Emerging Technology and Advanced Engineering, Volume 4, Issue 4, April 2014.
  • Tapinder Kaur, Ashish Verma, "Structure Extraction from Complex Textures using Gradient based Relative Total Variation. " International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-3, Issue-8, January 2014.
  • Zuoyong Li, Kezong Tang, Yong Cheng, Yong Hu, "Transition region based single-object image Segmentation. " International Journal of Electronics of Communication (AEU) July 2014.
  • Zhijian Huang, Xiang Li, Hui Zhang, "Remote Sensing Image Segmentation based on Dynamic Statistical Region Merging. " International journal for light and Electron Optics, Vol. 125, Issue 2, January 2014.