A Fast Thresholding Technique in Image Binarization for Embedded System
In the embedded systems of visual navigation, due to the limitations of images capture working environment conditions, there are sometimes defects of nonuniform illumination and noisy in the captured images. Therefore, global threshold methods are unfeasible. On the contrary, image binarization usin...
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| Main Authors: | , |
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2014-01-01.
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| Online Access: | Get fulltext |
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| LEADER | 02276 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | ijeecs3039_1047 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Dou, Jinkun |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Zhang, Weijun |e author |
| 245 | 0 | 0 | |a A Fast Thresholding Technique in Image Binarization for Embedded System |
| 260 | |b Institute of Advanced Engineering and Science, |c 2014-01-01. | ||
| 520 | |a In the embedded systems of visual navigation, due to the limitations of images capture working environment conditions, there are sometimes defects of nonuniform illumination and noisy in the captured images. Therefore, global threshold methods are unfeasible. On the contrary, image binarization using local threshold methods are more appropriate. However, local threshold methods which take more time to calculatet can't satisfy the requirement of real-time performance in embedded systems. In this paper, taking these two limitations into consideration, we proposed an efficient and fast method to determine the threshold value by using integral image and statistical methods which is similar to the local threshold method and meet the requirement of real-time performance in embedded systems. After experiments, for the proposed method, the result has demonstrated that the processing speed is nearly twice the global threshold method. And the processing quality closes to that of local threshold method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3359 | ||
| 540 | |a Copyright (c) 2013 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Computer Application,Embedded system,Image Processing | ||
| 690 | |a Threshold, Local adaptive, Binarization, Integral image, Embedded system | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 1: January 2014; 592-598 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v12.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3039/1047 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3039/1047 |z Get fulltext |