Yıl: 2011 Cilt: 19 Sayı: 1 Sayfa Aralığı: 21 - 32 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Line detection with adaptive random samples

Öz:
This paper examines the detection of parameterized shapes in multidimensional noisy grayscale images. A novel shape detection algorithm utilizing random sample theory is presented. Although the method can be generalized, line detection is detailed. Each line in the image corresponds to a point in the line parameter space. The method creates hypothesis lines by randomly selecting parameter space points and tests the surrounding regions for acceptable linear features. The information obtained from each randomly selected line is used to update the parameter distribution, which reduces the required number of random trials. The selected lines are re-estimated within a smaller search space with a more accurate algorithm like the Hough transform (HT). Faster results are obtained compared to HT, without losing performance as in other faster HT variants. The method is robust and suitable for binary or grayscale images. Results are given from both simulated and experimental subsurface seismic and ground penetrating radar (GPR) images when searching for features like pipes or tunnels.
Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA GÜRBÜZ A (2011). Line detection with adaptive random samples. , 21 - 32.
Chicago GÜRBÜZ Ali Cafer Line detection with adaptive random samples. (2011): 21 - 32.
MLA GÜRBÜZ Ali Cafer Line detection with adaptive random samples. , 2011, ss.21 - 32.
AMA GÜRBÜZ A Line detection with adaptive random samples. . 2011; 21 - 32.
Vancouver GÜRBÜZ A Line detection with adaptive random samples. . 2011; 21 - 32.
IEEE GÜRBÜZ A "Line detection with adaptive random samples." , ss.21 - 32, 2011.
ISNAD GÜRBÜZ, Ali Cafer. "Line detection with adaptive random samples". (2011), 21-32.
APA GÜRBÜZ A (2011). Line detection with adaptive random samples. Turkish Journal of Electrical Engineering and Computer Sciences, 19(1), 21 - 32.
Chicago GÜRBÜZ Ali Cafer Line detection with adaptive random samples. Turkish Journal of Electrical Engineering and Computer Sciences 19, no.1 (2011): 21 - 32.
MLA GÜRBÜZ Ali Cafer Line detection with adaptive random samples. Turkish Journal of Electrical Engineering and Computer Sciences, vol.19, no.1, 2011, ss.21 - 32.
AMA GÜRBÜZ A Line detection with adaptive random samples. Turkish Journal of Electrical Engineering and Computer Sciences. 2011; 19(1): 21 - 32.
Vancouver GÜRBÜZ A Line detection with adaptive random samples. Turkish Journal of Electrical Engineering and Computer Sciences. 2011; 19(1): 21 - 32.
IEEE GÜRBÜZ A "Line detection with adaptive random samples." Turkish Journal of Electrical Engineering and Computer Sciences, 19, ss.21 - 32, 2011.
ISNAD GÜRBÜZ, Ali Cafer. "Line detection with adaptive random samples". Turkish Journal of Electrical Engineering and Computer Sciences 19/1 (2011), 21-32.