Segmentation for Complex Background Images using Deep Learning Techniques
Ajay Bazil Issac1, Manohar N2, Varsha Kumari Jain M3
1Ajay Bazil Issac Department of Computer Science , Amrita School of Arts and Sciences Mysuru Campus, India.
2Manohar N, Department of Computer Science , Amrita School of Arts and Sciences Mysuru Campus, India.
3Varsha Kumari Jain M, Department of Computer Science , Amrita School of Arts and Sciences Mysuru Campus, India.
Manuscript received on 10 March 2019 | Revised Manuscript received on 15 March 2019 | Manuscript published on 30 July 2019 | PP: 1746-1750 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1042078219/19©BEIESP | DOI: 10.35940/ijrte.B1042.078219
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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: Segmentation is an important stage in any computer vision system. Segmentation involves discarding the objects which are not of our interest and extracting only the object of our interest. Automated segmentation has become very difficult when we have complex background and other challenges like illumination, occlusion etc. In this project we are designing an automated segmentation system using deep learning algorithm to segment images with complex background.
Keywords: Background Images, Deep Learning
Scope of the Article: Deep Learning