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


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.


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


Download data is not yet available.


Yu-Mei Huang, Hui-Yin Yan, You-Wei Wen, Xue Yang. Rank minimization with applications to image noise removal. Elsevier-Information Sciences. March 2018;429:147-163.

Anissa Selmani, Hassene Seddik. Anisotropic smart shape-adapted image smoothing without conductance function efficient for impulse noise removal. Elsevier- Digital Signal Processing. April 2018;75:83-95.

Yong Chen, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Min Wang. Group sparsity-based regularization model for remote sensing image stripe noise removal. Elsevier- Neurocomputing. 6 December 2017;267:95-106.

Jing Dong, Zifa Han, Yuxin Zhao, Wenwu Wang, Ales Prochazka, Jonathon Chambers. Sparse analysis model based multiplicative noise removal with enhanced regularization. Elsevier- Signal Processing. August 2017;137:160-176.

Lianghai Jin, Zhiliang Zhu, Xiangyang Xu, Xiang Li. Two-stage quaternion switching vector filter for color impulse noise removal. Elsevier- Signal Processing. November 2016;128:171-185.

De-Yong Lu. A hybrid optimization method for multiplicative noise and blur removal. Elsevier- Journal of Computational and Applied Mathematics. August 2016;302(15):224-233.

Xianquan Zhang, Feng Ding, Zhenjun Tang, Chunqiang Yu. Salt and pepper noise removal with image inpainting. Elsevier- AEU - International Journal of Electronics and Communications. January 2015;69(1):307-313.

Jielin Jiang, Jian Yang, Yan Cui, Lei Luo. Mixed noise removal by weighted low rank model. Elsevier- Neurocomputing. 5 March 2015;151(Part 2):817-826.

Tudor Barbu. Robust anisotropic diffusion scheme for image noise removal. Elsevier- Procedia Computer Science. September 2014;35:522-530.

Xia Chen, Chen Tang, Xiusheng Yan. Switching degenerate diffusion PDE filter based on impulse like probability for universal impulse noise removal. Elsevier- AEU - International Journal of Electronics and Communications. September 2014; 68(9):851-857.

Xiubao Sui, Qian Chen, Guohua Gu. Adaptive grayscale adjustment-based stripe noise removal method of single image. Elsevier- Infrared Physics & Technology. September 2013;60:121- 128.

Floris Gisolf, Anwar Malgoezar, Teun Baar, Zeno Geradts. Improving source camera identification using a simplified total variation-based noise removal algorithm. Elsevier- Digital Investigation. October 2013;10(3):207-214.

Jourabloo A, Feghahati AH, Jamzad M. New algorithms for recovering highly corrupted images with impulse noise. Elsevier- Scientia Iranica. December 2012; 19(6):1738-1745.

Lianghai Jin, Caiquan Xiong, Hong Liu. Improved bilateral filter for suppressing mixed noise in color images. Elsevier- Digital Signal Processing. December 2012;22(6):903-912.

Wei Ding. A new method for image noise removal using chaos-PSO and nonlinear ICA. Elsevier- Procedia Engineering. December 2011Volume 24, , pp. 111-115.

Tom Mélange, Mike Nachtegael, Stefan Schulte, Etienne E. Kerre. A fuzzy filter for the removal of random impulse noise in image sequences. Elsevier- Image and Vision Computing. May 2011;29(6):407-419.

Ovidiu Ghita, Paul F. Whelan. A new GVF-based image enhancement formulation for use in the presence of mixed noise. Elsevier- Pattern Recognition. August 2010;43(8):2646-2658.

Kannan K, Rajesh Kanna B, Aravindan C. root mean square filter for noisy images based on hyper graph model. Elsevier- Image and Vision Computing. September 2010;28(9):1329-1338.