Evaluating the Performance of Modified Watershed Algorithm Based on DBMF and DT.

Authors

  • Inderpal Singh DAV Institute of Engineering and Technology Jalandhar (Punjab).
  • Dinesh Kumar DAV Institute of Engineering and Technology Jalandhar (Punjab), India.

DOI:

https://doi.org/10.24297/ijct.v13i4.2863

Keywords:

IMAGE SEGMENTATION, WATERSHED, CLUSTERING, THRESHOLDING.

Abstract

The image segmentation; segments a given image into separate regions and objects. It is widely used in various vision applications like face detections, motion detection etc. It has been found that the noise has affected the segmentation at a great extent; so to overcome this problem we have presented a modified watershed segmentation using Decision based median filtering (DBMF) and Dynamic thresholding (DT). DBMF has the ability to reduce the high density of noise in the image so will provide more efficient results. However DT has also refined segmentation process further. The comparisons have shown that the proposed algorithm provides quite significant results over the available methods.

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Author Biographies

Inderpal Singh, DAV Institute of Engineering and Technology Jalandhar (Punjab).

Research Scholar in Computer Science and Engineering Department.

Dinesh Kumar, DAV Institute of Engineering and Technology Jalandhar (Punjab), India.

Faculty of IT Department.

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Published

2014-04-30

How to Cite

Singh, I., & Kumar, D. (2014). Evaluating the Performance of Modified Watershed Algorithm Based on DBMF and DT. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 13(4), 4360–4367. https://doi.org/10.24297/ijct.v13i4.2863

Issue

Section

Research Articles