An emergency based image filtering system
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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Brac University
2019
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| Online Access: | http://hdl.handle.net/10361/11752 |
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10361-117522022-01-26T10:08:18Z An emergency based image filtering system Dhar, Bishakha Smita, Noushin Anzum Chakrabarty, Amitabha Department of Computer Science and Engineering, Brac University Image processing Filtration Cloud storage Smart security Image processing--Digital techniques. Security measures. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 29-30). With the invention of new technology day by day the rate of inhuman works is also getting increased as well which ,making our life easier but at the same time unsafe. The new advanced technologies are permitting us to realize real time smart system that helps to provide advanced services to the users by giving real time image processing and currently, this smart system is also being imbibed to build the model according to the users’ demand and interest. In this proposed model, an emergency image filtration system has introduced. Through our proposed model we tried to emphasis to implement it for security system. In low light or some other reasons image capturing devices failed to capture perfect or clear image. Insecurity system sometimes it is a must to get the clear image to identify the real fact. For that reason we proposed to filter noisy images in real time to check the fact on exact time. For noisy image we have taken ‘salt and pepper noise’ as a type of noise to check whether the received image is noisy or not. In addition, after assuring the presence of noise, an image filtering system is inaugurated which is suitable filtration for the specific noise category that can enhance the visualization of any degraded images in emergency basis in the server. After the filtration process is held, the denoised image is saved in the server again to share with other connecting devices through that server. As a result, the percentage of noise level for particular images can be identified. In particular, the proposed system relies on a smart device that assembles image filtration to deliberately provide the users with strained output image in an observed network. The final transmission of the refining data has done by the devices which are connected with virtual server. Finally, through running definite image filtering process, running in the system, that controls the smart environment security system and will help us to prevent various unwanted inhuman works. The system has been designed that can be easily extensible to other smart technologies and its effectiveness has been evaluated in various security as well as safety platform. Bishakha Dhar Noushin Anzum Smita B. Computer Science and Engineering 2019-04-21T06:24:09Z 2019-04-21T06:24:09Z 2018 2018-12 Thesis ID 14301093 ID 14101134 http://hdl.handle.net/10361/11752 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 30 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Image processing Filtration Cloud storage Smart security Image processing--Digital techniques. Security measures. |
| spellingShingle |
Image processing Filtration Cloud storage Smart security Image processing--Digital techniques. Security measures. Dhar, Bishakha Smita, Noushin Anzum An emergency based image filtering system |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Chakrabarty, Amitabha |
| author_facet |
Chakrabarty, Amitabha Dhar, Bishakha Smita, Noushin Anzum |
| format |
Thesis |
| author |
Dhar, Bishakha Smita, Noushin Anzum |
| author_sort |
Dhar, Bishakha |
| title |
An emergency based image filtering system |
| title_short |
An emergency based image filtering system |
| title_full |
An emergency based image filtering system |
| title_fullStr |
An emergency based image filtering system |
| title_full_unstemmed |
An emergency based image filtering system |
| title_sort |
emergency based image filtering system |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/11752 |
| work_keys_str_mv |
AT dharbishakha anemergencybasedimagefilteringsystem AT smitanoushinanzum anemergencybasedimagefilteringsystem AT dharbishakha emergencybasedimagefilteringsystem AT smitanoushinanzum emergencybasedimagefilteringsystem |
| _version_ |
1814307257240780800 |