Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 2: EECSI 2015

Optimization of Salient Object Segmentation By Using the Influence of Color in Digital Image

Ramadhan, Edvin ( Institut Teknologi Bandung)
Suwardi, Iping Supriana ( Institut Teknologi Bandung)
Trilaksono, Bambang Riyanto ( Institut Teknologi Bandung)



Article Info

Publish Date
15 Aug 2015

Abstract

Human attention is more likely to be interested in different objects or striking in image processing called salient object. Existing approaches worked well in finding the salient object in this image, but they have not been able to accurately detect where objects should stand out due to the influence of light intensity, there are various object results of salient object detection in which area is still cut off or do not appear because they do not include salient area. We offer solutions to fix these problems by optimizing salient object detection prioritizing object area after salient area, through checking comparison of the color region located around the area of the salient. This Optimization of the application is able to improve to 83% from 100 salient object which has this problem, and able to produce more natural Saliency Cut.

Copyrights © 2015






Journal Info

Abbrev

EECSI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...