The more environmentally robust edge detection of moving objects using improved Canny edge detector and Freeman chain code 


Vol. 37,  No. 2, pp. 37-42, Feb.  2012


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  Abstract

This paper suggests the edge detection of moving objects using the gaussian background extraction and input image. After extracting the background from input image, we can get the edge images from the background image and the input image, respectively. we can obtain the edge image include rough shape of moving objects by subtraction of those edge images. And then, by the closing operation of morphology we are able to connect between broken edge elements. Next, through comparing the length of between edge elements, we removed the edge elements under a specific length and finally can detect the edge of moving objects. we confirmed the performence using experiment with our proposal.

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  Cite this article

[IEEE Style]

H. Jang, "The more environmentally robust edge detection of moving objects using improved Canny edge detector and Freeman chain code," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 2, pp. 37-42, 2012. DOI: .

[ACM Style]

Hye-Kyoung Jang. 2012. The more environmentally robust edge detection of moving objects using improved Canny edge detector and Freeman chain code. The Journal of Korean Institute of Communications and Information Sciences, 37, 2, (2012), 37-42. DOI: .

[KICS Style]

Hye-Kyoung Jang, "The more environmentally robust edge detection of moving objects using improved Canny edge detector and Freeman chain code," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 2, pp. 37-42, 2. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880