Though promising in nature, linedetectionalgorithms based on fuzzy clustering suffer from excessive sensitivity to noise and non-linear structures. Anewdetection scheme is proposed here which is suitable for the processing of real-world images. Possibilisticclustering is used instead of fuzzy clustering to achieve a higher immunity to noise, whereas a set of criteria to eliminate non-linear clusters is provided to take into account the presence of curved lines. Merging of segments is possible due to a fuzzy reasoning module exploiting human perception considerations. The number of parameters to be set is kept to a minimum, thus ensuring generality and robustness. Tests confirm the ability of the proposed system in interpreting the linear structures present in the image.

Barni, M., & R., G. (1999). A new possibilistic clustering algorithm for line detection in real world imagery. PATTERN RECOGNITION, 32(11), 1897-1909 [10.1016/S0031-3203(99)00012-6].

A new possibilistic clustering algorithm for line detection in real world imagery

BARNI, MAURO;
1999

Abstract

Though promising in nature, linedetectionalgorithms based on fuzzy clustering suffer from excessive sensitivity to noise and non-linear structures. Anewdetection scheme is proposed here which is suitable for the processing of real-world images. Possibilisticclustering is used instead of fuzzy clustering to achieve a higher immunity to noise, whereas a set of criteria to eliminate non-linear clusters is provided to take into account the presence of curved lines. Merging of segments is possible due to a fuzzy reasoning module exploiting human perception considerations. The number of parameters to be set is kept to a minimum, thus ensuring generality and robustness. Tests confirm the ability of the proposed system in interpreting the linear structures present in the image.
Barni, M., & R., G. (1999). A new possibilistic clustering algorithm for line detection in real world imagery. PATTERN RECOGNITION, 32(11), 1897-1909 [10.1016/S0031-3203(99)00012-6].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11365/33673
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