Development of Image Annotation Tool by using Region Grow Algorithm
Arun Kumar E1, Gourish M Malage2, Sunil Kumar S Manvi3, Kiran Kumari Patil4
1Arunkumar E, Department of Computing and Information Technology, REVA University, Bangalore (Karnataka), India.
2Gourish M Malage, Department of Computing and Information Technology, REVA University, Bangalore (Karnataka), India.
3Sunil Kumar S Manvi, Department of Computing and Information Technology, REVA University, Bangalore (Karnataka), India.
4Kiran Kumari Patil, Department of Computing and Information Technology, REVA University, Bangalore (Karnataka), India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 29 June 2019 | PP: 40-45 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10090585S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image annotation conjointly called as automatic picture tagging or linguistic compartmentalization. It is the method through which computing systems mechanically provide the information within the style of keywords to an image. Several techniques are planned for picture annotation from the previous decades that provide enforcement on common place datasets. However, most of those works fail to match their ways with easy baseline techniques to justify the necessity for advanced models and subsequent coaching. In this paper, we propose a region grow algorithmic program for development of image annotation tool. This method uses low-level model options and a straight forward collection of the distances to find out closest homogenized pixels of a given picture and mix one another to make a region of image.
Keywords: Image Annotation, Region Grow Algorithm.
Scope of the Article: Image Security