Enhancement of background subtraction approach for image segmentation
In this paper an enhanced background subtraction approach for image segmentation is proposed in order to precisely detect and represent the objects in the images. It is based on automatic detection of the background by estimating the background and then subtracting it from the original image. This s...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Conference Paper |
| 言語: | en_US |
| 出版事項: |
2015
|
| 主題: | |
| オンライン･アクセス: | http://ddms.usim.edu.my/handle/123456789/9190 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| 要約: | In this paper an enhanced background subtraction approach for image segmentation is proposed in order to precisely detect and represent the objects in the images. It is based on automatic detection of the background by estimating the background and then subtracting it from the original image. This step is incorporated in the background subtraction approach in order to reduce the computational cost and overcome the problems where the environment is complex such as underwater images and when there are many kinds of objects. The segmentation results using this enhanced approach are compared with the recent background subtraction techniques in terms of speed and accuracy in order to show the efficiency and the effectiveness of the proposed approach. © 2010 IEEE. |
|---|