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@article{ART001366557},
author={SeongYoon Shin and Pyo,Sung-Bae},
title={Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2009},
volume={14},
number={7},
pages={33-40}

TY - JOUR
AU - SeongYoon Shin
AU - Pyo,Sung-Bae
TI - Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection
JO - Journal of The Korea Society of Computer and Information
PY - 2009
VL - 14
IS - 7
PB - The Korean Society Of Computer And Information
SP - 33
EP - 40
SN - 1598-849X
AB - Edge detection is very significant in low level image processing. However, majority edge detection methods are not only effective enough cause of the noise points’ influence, even not flexible enough to different input images. In order to sort these problems, in this paper an algorithm is presented that has an extra noise reduction stage at first, and then automatically selects the both thresholds depending on gradient amplitude histogram and intra class minimum variance. Using this algorithm, can fade out almost all of the sensitive noise points, and calculate the propose thresholds for different images without setting up the practical parameters artificially, and then choose edge pixels by fuzzy algorithm. In finally, get the better result than the former Canny algorithm.
KW - edge detection;Canny algorithm;Gradient Amplitude Histogram;Intra Class Minimum Variance
DO -
UR -
ER -

SeongYoon Shin and Pyo,Sung-Bae. (2009). Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection. Journal of The Korea Society of Computer and Information, 14(7), 33-40.

SeongYoon Shin and Pyo,Sung-Bae. 2009, "Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection", Journal of The Korea Society of Computer and Information, vol.14, no.7 pp.33-40.

SeongYoon Shin, Pyo,Sung-Bae "Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection" Journal of The Korea Society of Computer and Information 14.7 pp.33-40 (2009) : 33.

SeongYoon Shin, Pyo,Sung-Bae. Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection. 2009; 14(7), 33-40.

SeongYoon Shin and Pyo,Sung-Bae. "Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection" Journal of The Korea Society of Computer and Information 14, no.7 (2009) : 33-40.

SeongYoon Shin; Pyo,Sung-Bae. Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection. Journal of The Korea Society of Computer and Information, 14(7), 33-40.

SeongYoon Shin; Pyo,Sung-Bae. Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection. Journal of The Korea Society of Computer and Information. 2009; 14(7) 33-40.

SeongYoon Shin, Pyo,Sung-Bae. Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection. 2009; 14(7), 33-40.

SeongYoon Shin and Pyo,Sung-Bae. "Using Mean Shift Algorithm and Self-adaptive Canny Algorithm for Improvement of Edge Detection" Journal of The Korea Society of Computer and Information 14, no.7 (2009) : 33-40.