Image Segmentation and Labelling Using Boundary Based Object Detection Method With Light Weight Process

  • N.Shanmugapriya et al.

Abstract

Information technology made a strong decision making system in human survival. After the end of data processing systems, image processing made a autonomy its  own area of research. Image processing is mixed task of light weighted and complex process based on the task. Image segmentation is challenging task in the image processing systems.  In the earlier segmentation methods various approaches are developed to resolve various issues. presently, it migrates to the knowledge based concepts. There are various issues are still pending in image segmentation. In order to overcome such issues in this area of segmentation, in this paper we proposed novel method for image labelling based on the object detection with light- weight process.  In this method the image gets labelled and it features. This labelling method is very simple with good accuracy in labelling and it count. It will me more helpful to the next phase of the knowledge based segmentation process.  Compared to the existing system the proposed method labelled  the image object in an efficient manner.

Published
2019-12-21
How to Cite
et al., N. (2019). Image Segmentation and Labelling Using Boundary Based Object Detection Method With Light Weight Process. International Journal of Advanced Science and Technology, 28(17), 384 - 391. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/2273