Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

An Improved Scheme on Morphological Image Segmentation Using the Gradients

Author 1: Pinaki Pratim Acharjya Author 2: Santanu Santra Author 3: Dibyendu Ghoshal
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 2 · Published 2013 · Cited by 5

DOI: https://doi.org/10.14569/IJACSA.2013.040215

Abstract

An improved scheme for contour detection with better performance measure has been proposed. It is based on the response of human visual system during visualization of any type of an image. The scheme consisted of two parts namely to find the edge of the image by using the modified mask of Laplacian of Gaussian edge operator and subsequent modulation of the edge by using watershed algorithm. The method has been applied to a digital image and better performance measure of contour detection has been achieved.

Keywords

How to Cite this Article

Acharjya, P. P., Santra, S., & Ghoshal, D. (2013). An Improved Scheme on Morphological Image Segmentation Using the Gradients. International Journal of Advanced Computer Science and Applications, 4(2). https://doi.org/10.14569/IJACSA.2013.040215

Acharjya, Pinaki Pratim, et al.. "An Improved Scheme on Morphological Image Segmentation Using the Gradients." International Journal of Advanced Computer Science and Applications, vol. 4, no. 2, 2013, https://doi.org/10.14569/IJACSA.2013.040215.

@article{Acharjya2013,
  title     = {An Improved Scheme on Morphological Image Segmentation Using the Gradients},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {2},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Pinaki Pratim Acharjya and Santanu Santra and Dibyendu Ghoshal},
  doi       = {10.14569/IJACSA.2013.040215},
  url       = {https://doi.org/10.14569/IJACSA.2013.040215}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.