Enhancing Salt-and-Pepper Noise Removal in Binary Images of Engineering Drawing

Author:

AL-KHAFFAF Hasan S. M.1,TALIB Abdullah Z.1,SALAM Rosalina Abdul1

Affiliation:

1. School of Computer Sciences/Universiti Sains Malaysia

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference15 articles.

1. [1] P.Y. Simard and H.S. Malvar, “An efficient binary image activity detector based on connected components, ” Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.229-232, 2004.

2. Empirical performance evaluation of graphics recognition systems

3. [3] A.K. Chhabra and I.T. Phillips, “Performance evaluation of line drawing recognition systems, ” Proc. 15th International Conference on Pattern Recognition, pp.864-869, Barcelona, 2000.

4. [4] K. Chinnasarn, Y. Rangsanseri, and P. Thitimajshima, “Removing salt-and-pepper noise in text/graphics images, ” 1998 IEEE Asia-Pacific Conference on Circuits and Systems, pp.459-462, Chiangmai, 1998.

5. [5] R.C. Gonzalez and R.E. Woods, Digital Image Processing, second ed., Prentice Hall, New Jersey, 2002.

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1. Comparative Analysis of Salt and Pepper Removal Techniques for Binary Images;Advances in Intelligent Systems and Computing;2020

2. Optical english font recognition in document images using eigenfaces;Innovaciencia Facultad de Ciencias Exactas Físicas y Naturales;2018-12-28

3. Salt and pepper noise removal in binary images using image block prior probabilities;Journal of Visual Communication and Image Representation;2014-07

4. Empirical Performance Evaluation of Raster-to-Vector Conversion Methods: A Study on Multi-Level Interactions between Different Factors;IEICE Transactions on Information and Systems;2011

5. Salt and Pepper Noise Removal from Document Images;Lecture Notes in Computer Science;2009

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