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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chunqiao Zhou Sizheng Zhu Songsong Zhu |
| Copyright Year | 2014 |
| Description | Author affiliation: Lab. Manage. & Service Center, Univ. of Shanghai for Sci. & Technol., Shanghai, China (Chunqiao Zhou; Sizheng Zhu) || Coll. of Water Conservancy & Hydropower Eng., Hohai Univ., Nanjing, China (Songsong Zhu) |
| Abstract | According to the problems that there are low detection rate and high false reject rate based on traditional image processing algorithms, this article proposes a method that combines SSDA and character contour searching algorithms to recognize the digital segment codes' large flaws and extract characters in the VFD image, and by image subtraction, maximum between-cluster variance (Otsu) and mathematical morphology algorithms, we can easily judge if there is any other little flaw in it. The results demonstrate the performance of our proposed algorithm through simulation, and we validate it with many experiments using this new method compared with other existing methods. |
| Starting Page | 785 |
| Ending Page | 790 |
| File Size | 758322 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479954582 |
| DOI | 10.1109/ICSAI.2014.7009391 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optical filters Mathematical morphology algorithms Image subtraction Image segmentation Maximum between-cluster variance Noise Object segmentation Filtering algorithms Information filters Regions of interest SSDA Character contour searching |
| Content Type | Text |
| Resource Type | Article |
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