In this paper, we propose and evaluate the performance of five different perceptual and non-perceptual dissimilarity measures, which are used to measure the texture dissimilarity between the two neighboring cubes that share a square face centered around the given voxel. The proposed measures are the building blocks of three dimensional Gradient of Texture (3D-GoT), which can quantify texture variations in three-dimensional space. The proposed dissimilarity measures exploit the strong coherence between neighboring seismic sections and compute cubes dissimilarity by incorporating all inline, crossline and time directions that make it effective as compared to those of 2D dissimilarity measures. The perceptual dissimilarity are consistent with human perception and yield better dissimilarity as compared to non-perceptual measures. The experimental results on the real dataset from the North Sea, F3 block illustrate that the perceptual dissimilarity measures are not only computationally more efficient but also yield better salt dome delineation results as compared to the non-perceptual dissimilarity measures.


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