Underground image denoising method based on improved simplified pulse coupled neural network
In order to solve problems of traditional image denoising methods such as image blur, edge information loss and so on, an image denoising method based on improved simplified pulse coupled neural network was proposed according to characteristics of underground images including uneven luminosity and l...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Industry and Mine Automation
2014-05-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2014.05.014 |
| _version_ | 1797868734698749952 |
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| author | FENG Weibing HU Junmei CAO Genniu |
| author_facet | FENG Weibing HU Junmei CAO Genniu |
| author_sort | FENG Weibing |
| collection | DOAJ |
| description | In order to solve problems of traditional image denoising methods such as image blur, edge information loss and so on, an image denoising method based on improved simplified pulse coupled neural network was proposed according to characteristics of underground images including uneven luminosity and large noise. Selection of neurons joining strength β was improved, which made β depend on pixel gray value of image, so as to get better denoising effect. At the same time, selection of decay time constant αE of dynamic threshold was improved, which made αE depend on amplification coefficient vE of threshold output, so as to reduce number of parameters of simplified pulse coupled neural network model. The value of vE was selected through experiment. The experiment results show that the method removes salt and pepper noise of underground images more effectively and preserves details of image edge more completely than traditional median filtering and mean filtering. |
| first_indexed | 2024-04-10T00:00:32Z |
| format | Article |
| id | doaj.art-d5a519fcd019435b9f65f4268ba8d005 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:00:32Z |
| publishDate | 2014-05-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-d5a519fcd019435b9f65f4268ba8d0052023-03-17T01:51:52ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2014-05-01405545810.13272/j.issn.1671-251x.2014.05.014Underground image denoising method based on improved simplified pulse coupled neural networkFENG WeibingHU JunmeiCAO GenniuIn order to solve problems of traditional image denoising methods such as image blur, edge information loss and so on, an image denoising method based on improved simplified pulse coupled neural network was proposed according to characteristics of underground images including uneven luminosity and large noise. Selection of neurons joining strength β was improved, which made β depend on pixel gray value of image, so as to get better denoising effect. At the same time, selection of decay time constant αE of dynamic threshold was improved, which made αE depend on amplification coefficient vE of threshold output, so as to reduce number of parameters of simplified pulse coupled neural network model. The value of vE was selected through experiment. The experiment results show that the method removes salt and pepper noise of underground images more effectively and preserves details of image edge more completely than traditional median filtering and mean filtering.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2014.05.014underground imagevideo monitoringimage processingimage denoisingsalt and pepper noisepulse coupled neural network |
| spellingShingle | FENG Weibing HU Junmei CAO Genniu Underground image denoising method based on improved simplified pulse coupled neural network Gong-kuang zidonghua underground image video monitoring image processing image denoising salt and pepper noise pulse coupled neural network |
| title | Underground image denoising method based on improved simplified pulse coupled neural network |
| title_full | Underground image denoising method based on improved simplified pulse coupled neural network |
| title_fullStr | Underground image denoising method based on improved simplified pulse coupled neural network |
| title_full_unstemmed | Underground image denoising method based on improved simplified pulse coupled neural network |
| title_short | Underground image denoising method based on improved simplified pulse coupled neural network |
| title_sort | underground image denoising method based on improved simplified pulse coupled neural network |
| topic | underground image video monitoring image processing image denoising salt and pepper noise pulse coupled neural network |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2014.05.014 |
| work_keys_str_mv | AT fengweibing undergroundimagedenoisingmethodbasedonimprovedsimplifiedpulsecoupledneuralnetwork AT hujunmei undergroundimagedenoisingmethodbasedonimprovedsimplifiedpulsecoupledneuralnetwork AT caogenniu undergroundimagedenoisingmethodbasedonimprovedsimplifiedpulsecoupledneuralnetwork |