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Automatic Moving Objects Segmentation Enhancement Based on Fuzzy C-Means with Gabor Filter and Minkowski Distance


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DOI: https://doi.org/10.15866/irecos.v10i10.7765

Abstract


The low intensity of several pixels can be a crucial problem for the segmentation of moving object because the object cannot be separated perfectly from the background. This paper proposes Gabor filtering to enhance the intensity of foreground in automatic segmentation of moving object. The experiments evaluate the application of Gabor filter and Fuzzy C-Means (FCM) clustering for segmentation of moving objects showing that FCM with Gabor filter is able to perform a good differentiation process of foreground and background which is better than FCM with no Gabor filter. In the work, several distance metrics have been evaluated. The result shows that Minkowski distance is more accurate than the other distances.
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Keywords


Fuzzy C-Means; Gabor Filter; Distance Measure; Segmentation for Moving Object

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References


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