KJCKorea
Journal Central

@article{ART000951708},
author={Kim, Kwang-baek and Kim， Young-Ju},
title={Enhanced Binarization Method using Fuzzy Membership Function},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2005},
volume={10},
number={1},
pages={67-72}

TY - JOUR
AU - Kim, Kwang-baek
AU - Kim， Young-Ju
TI - Enhanced Binarization Method using Fuzzy Membership Function
JO - Journal of The Korea Society of Computer and Information
PY - 2005
VL - 10
IS - 1
PB - The Korean Society Of Computer And Information
SP - 67
EP - 72
SN - 1598-849X
AB - Most of image binarization algorithms analyzes the intensity distribution using the histogram for the determination of threshold value. When the intensity difference between the foreground object and the background is great, the histogram shows the tendency to be bimodal and the selection of the histogram valley as the threshold value shows the good result. On the other side, when the intensity difference is not great and the histogram doesn't show the bimodal property, the histogram analysis doesn't support the selection of the proper threshold value. This paper proposed the novel binarization method that applies the fuzzy membership function to each color value on the RGB color model and, by using the operation results, separates the features having the great readability from the background. The proposed method prevents the loss of information incurred by the gray scale conversion by using the RGB color model and extracts effectively the readable features by using the fuzzy inference. Compared with the traditional binarization methods, the proposed method is able to remove the majority of noise areas and show the improved results on the image of transport containers, etc.
KW - Threshold;Binarization;Histogram;Intensity Distribution;Fuzzy Membership Function
DO -
UR -
ER -

Kim, Kwang-baek and Kim， Young-Ju. (2005). Enhanced Binarization Method using Fuzzy Membership Function. Journal of The Korea Society of Computer and Information, 10(1), 67-72.

Kim, Kwang-baek and Kim， Young-Ju. 2005, "Enhanced Binarization Method using Fuzzy Membership Function", Journal of The Korea Society of Computer and Information, vol.10, no.1 pp.67-72.

Kim, Kwang-baek, Kim， Young-Ju "Enhanced Binarization Method using Fuzzy Membership Function" Journal of The Korea Society of Computer and Information 10.1 pp.67-72 (2005) : 67.

Kim, Kwang-baek, Kim， Young-Ju. Enhanced Binarization Method using Fuzzy Membership Function. 2005; 10(1), 67-72.

Kim, Kwang-baek and Kim， Young-Ju. "Enhanced Binarization Method using Fuzzy Membership Function" Journal of The Korea Society of Computer and Information 10, no.1 (2005) : 67-72.

Kim, Kwang-baek; Kim， Young-Ju. Enhanced Binarization Method using Fuzzy Membership Function. Journal of The Korea Society of Computer and Information, 10(1), 67-72.

Kim, Kwang-baek; Kim， Young-Ju. Enhanced Binarization Method using Fuzzy Membership Function. Journal of The Korea Society of Computer and Information. 2005; 10(1) 67-72.

Kim, Kwang-baek, Kim， Young-Ju. Enhanced Binarization Method using Fuzzy Membership Function. 2005; 10(1), 67-72.

Kim, Kwang-baek and Kim， Young-Ju. "Enhanced Binarization Method using Fuzzy Membership Function" Journal of The Korea Society of Computer and Information 10, no.1 (2005) : 67-72.