Determining Distance Measure in Fast Scanning Algorithm for Image Segmentation

Authors

  • Y. Yusof School of Computing, Universiti Utara Malaysia, Malaysia
  • A.N. Ismael School of Computing, Universiti Utara Malaysia, Malaysia. College of Computer Science and Mathematics, Tikrit University, Iraq.

Keywords:

Fast Scanning Algorithm, Image Segmentation, Euclidean Distance, City Block Distance, Dice Distance, Sorensen Distance,

Abstract

Segmentation is an essential and important process that separates an image into regions that have similar characteristics or features. Various algorithms have been proposed for image segmentation and this includes the Fast Scanning algorithm which has been employed on food, sport and medical images. The clustering process in Fast Scanning algorithm is performed by merging pixels with similar neighbor based on Euclidean Distance. Such an approach leads to a weak reliability and shape matching of the produced segments. This study investigates the alternatives distance measure to be employed in Fast Scanning algorithm. Distance between pixels is identified for four measures; Euclidean, City Block, Dice and Sorensen. Results show that the Sorensen is a better measure to be used in Fast Scanning algorithm for image segmentation.

Downloads

Published

2017-03-01

How to Cite

Yusof, Y., & Ismael, A. (2017). Determining Distance Measure in Fast Scanning Algorithm for Image Segmentation. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1-2), 25–28. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1645

Issue

Vol. 9 No. 1-2: Advancing Digital Societies for Social and Cultural Improvement

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.