Image Segmentation by Grouping Pixels in Color and Image Space Simultaneously using DBSCAN Clustering Algorithm
Schlagwörter:
image segmentation, DBSCAN, NBS color-distance, color difference, HVC color spaceAbstract
In this paper, the authors propose a technique for image segmentation by integrating the spatial connectivity and color features of pixels. Taking into account that an image can be considered as a dataset in which each pixel has a spatial location and a color value, color image segmentation can be obtained by clustering these pixels into different groups of coherent spatial connectivity and color. To discover clusters in spatial databases in data mining, density-based clustering is used. Here, the authors have used density-based clustering (DBSCAN) to determine the spatial connectivity of the pixels. Color similarity of the pixels is measured in perceptually uniform Munsell (HVC) color space under NBS color distance measurements. Experimental results using the proposed method show encouraging performance. Keywords: image segmentation, DBSCAN, NBS color-distance, color difference, HVC color space
Veröffentlicht
Ausgabe
Rubrik
Lizenz
Declaration and Copyright Transfer Form
(to be completed by authors)
I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.
· I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
· I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
· I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
· I/We also agree to the authorship of the article in the following order:
Author’s name
1. ________________
2. ________________
3. ________________
4. _______________
We Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal. |
.
