Survey of Various Image Segmentation, Image Enhancement and Feature Extraction Methods Used for Traffic Sign Recognition

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Published: 2021-11-29

Page: 425-432


Abhinav V. Deshpande *

School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.

*Author to whom correspondence should be addressed.


Abstract

The difficulties which are faced during roadway symbols through an ideal are focused in this research paper. Persons gets mislead because of wrong interpretation of a particular traffic sign. It is one of the problems which are troubling the industry. It is also the major cause of road accidents. In this research paper, a comparative analysis of various Image Enhancement in the spatial domain as well as Image Segmentation is being performed. The technique which proves to be the best among its counterparts will be used for satisfying the aforementioned objective in the future research work.

Keywords: Image segmentation, feature extraction, Harris feature detector, minimum eigen feature detector, lazy snapping


How to Cite

Deshpande, A. V. (2021). Survey of Various Image Segmentation, Image Enhancement and Feature Extraction Methods Used for Traffic Sign Recognition. Asian Basic and Applied Research Journal, 3(1), 425–432. Retrieved from https://globalpresshub.com/index.php/ABAARJ/article/view/1355

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