Unsupervised identification of seismic horizons using swarms of cooperating agents
a technology of cooperating agents and seismic data, applied in the field of unsupervised identification of seismic data using cooperating agent swarms, can solve the problems of difficult interpretation of seismic data, high cost of errors, and difficulty in identifying horizons in seismic data
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[0023]Exemplary embodiments of the disclosure as described herein generally provide systems and methods for implementing a method for unsupervised identification of seismic horizons in digital images using swarms of cooperating agents. While embodiments are susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that there is no intent to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the disclosure.
[0024]As used herein, the term “image” refers to multi-dimensional data composed of discrete image elements (e.g., pixels for 2-dimensional images and voxels for 3-dimensional images). The image may be, for example, an image of a subject collected by any imaging system known to one of skill in the ar
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