ECD + AHE: Edge and Corner Detection in Complex Lighting Environment by Image Enhancement Techniques

Authors

  • Shephali Pareek M. Tech Student, Rajasthan College of Engineering for Women, Bhankrota, Ajmer Road, Jaipur -302026
  • Subhash Chandra Assistant Professor, Department of Computer Science, Rajasthan College of Engineering for Women Bhankrota, Ajmer Road, Jaipur -302026

Keywords:

Sub pixel, Harris algorithm, corner detection.

Abstract

In this paper we focused on edge and corner detection area. Its aims to designing a reliable framework to assist edge, and corner of an object in image. As we know in present stage there are some area where we need to find the corners point those are related to Object recognition, Aeronautics, and depth reasoning. In these type of application there is need of some device which will detect the corner points using Harris corner detector and fast processing unit which is not possible by pure accurate unit so for reduction of those issue in work we need to present a Novel algorithm which involve both Edge & Corner detection with 3D map representation. Our approach (ECD + AHE), based on 2D qualitative edge profile fitting and edge consistency, will produce one continuous edge from an initial point. The goal of this work is to use edge continuity metrics to improve the detection of salient edges and corners of the foreground object in images.

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Published

2019-07-01

How to Cite

Pareek, S. ., & Chandra, S. . (2019). ECD + AHE: Edge and Corner Detection in Complex Lighting Environment by Image Enhancement Techniques. International Journal of Technical Innovation in Modern Engineering & Science, 5(7), 417–425. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/1727