| Autor: |
RADLEY, SHERYL, DHAS, JULIA PUNITHA MALAR, KIRUBAKARAN, S. STEWART |
| Předmět: |
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| Zdroj: |
i-Manager's Journal on Image Processing; Jul-Sep2022, Vol. 9 Issue 3, p1-9, 9p |
| Abstrakt: |
The increasing traffic volume creates a greatest challenge in today's traffic research. It is important to know the road traffic density for effective traffic management and Intelligent Transportation System (ITS). Traditional method of detecting vehicles from video is image subtraction which is not effective as it is susceptible to changing levels of brightness. And hence the proposed algorithm detects vehicles from an image in a more precise manner. The proposed work uses image processing that involves the techniques such as image acquisition, image enhancement, and Image segmentation to retrieve image from the source and enhance the contrast and brightness of the image for successful surveillance on transportation system. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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