Rahman, Arif and Satya Widodo, Nuryono Distance Estimation of Colored Objects in Image. [Artikel Dosen]
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Abstract
Detect objects with a specific color are one of the topics in computer vision. An object captured by the camera
will be represented as an image. Closer objects will appear larger in the image and vice versa. However, size changes of
the object do not inform actual distance of the object to the camera. This paper proposes a method to estimate the distance
between the colored object to the camera by processing the image captured. First, image color filtering based on HSV color
model performed and then to detect the colored object in the image, object detection applied to labeling nearest 8 connected
components with the same value with Moore-neighborhood tracing algorithm. The distance of the object estimates with
single point projection principle from the object height in the image represented by the bounding rectangle, and the height
of the real object. An experiment conducted using objects with different color and object distance variance in centimeters.
Results show that the method is able to estimate the real distance of the colored object from the camera.
| Item Type: | Artikel Dosen |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisi / Prodi: | Faculty of Applied Science and Technology (Fakultas Sains Dan Teknologi Terapan) > S1-Information System (S1-Sistem Informasi) |
| Depositing User: | Arif Rahman |
| Date Deposited: | 06 Nov 2018 22:18 |
| Last Modified: | 06 Nov 2018 22:18 |
| URI: | http://eprints.uad.ac.id/id/eprint/11599 |
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