Distance Estimation of Colored Objects in Image

Rahman, Arif and Satya Widodo, Nuryono Distance Estimation of Colored Objects in Image. [Artikel Dosen]


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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 Mathematics and Natural Sciences (Fakultas Matematika dan Ilmu Pengetahuan Alam) > 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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