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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei Pei Yongying Zhu Zheng Xu Chenxiang Wang |
| Copyright Year | 2012 |
| Description | Author affiliation: Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, Liaoning Province, China (Zheng Xu) || Ocean and Civil Engineering Department, Dalian Ocean University, Dalian, Liaoning Province, China (Yongying Zhu) || Environmental Science and Engineering College, Dalian Maritime University, Dalian, Liaoning Province, China (Wei Pei; Chenxiang Wang) |
| Abstract | Because of the characteristics of stereo light microscope (SLM) micro stereovision system, noise is unavoidable in SLM microscopic images. It may have adverse effects on many techniques relative to images. The noise is analysed based on micro stereovision system and divided into random noise and fixed pattern noise, and then an image model is developed. The random noises in SLM microscopic images with various magnifications are quantified and the tiny increasing trend of random noise with the magnification becoming higher is found. Moreover, an extended vector median filter and an average calibration method are used to remove random noise and non-uniformity correction. The experiment results show that the random noise and fixed pattern non-uniformity can be removed efficiently with non-uniformity correction and vector median filtering. |
| Starting Page | 586 |
| Ending Page | 589 |
| File Size | 849521 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457721441 |
| e-ISBN | 9781457721434 |
| DOI | 10.1109/ICICIP.2012.6391502 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optical filters Filtering Microscopy Vectors Calibration Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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