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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jun Zhang Jinglu Hu |
| Copyright Year | 2009 |
| Description | Author affiliation: Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Japan (Jun Zhang; Jinglu Hu) |
| Abstract | Image thresholding is a useful method in many image processing and computer vision applications. Otsu method is one of popular thresholding methods and has been frequently used as a classical technique in various applications. A premise of this method is that the probability of edge region is supposed to be zero. However, the premise is not proper in some situations such as the images are corrupted by noises. To solve this problem, a curvilinear thresholding method (CTM) is proposed based on the traditional Otsu method. We give a recursive algorithm of line thresholding method (LTM), which is a particular case of CTM, to verify our ideas. In addition, Otsu based method has another weakness that is it gives satisfactory results only when the numbers of pixels in each class are close to each other. Otherwise the threshold will be biased. This paper introduces a two-dimensional (2D) histogram projection method to correct the Otsu threshold. A fast algorithm for searching the valley of one-dimensional (1D) projected histogram is also given based on wavelet transform. Experimental results show that the proposed method performs much better than the traditional Otsu method. |
| Starting Page | 1014 |
| Ending Page | 1019 |
| File Size | 1184525 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424426782 |
| DOI | 10.1109/ROBIO.2009.4913139 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-02-22 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms Application software Wavelet transforms Image segmentation Robot vision systems Biomimetics Production systems Societies Image processing Computer vision 2D histogram projection Noisy image curvilinear thresholding method (CTM) line thresholding method (LTM) |
| Content Type | Text |
| Resource Type | Article |
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