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Fast Rock Segmentation Using Artificial Intelligence to Approach Human-Level Accuracy


Fragmentation Analysis


Rock segmentation is an essential but challenging component of image-based rock fragmentation analysis. This paper puts forth a deep learning based approach to this problem. Test results show that fast and automatic rock segmentation can be achieved using this novel technique.

In this article you will understand:

  • Why automatic rock segmentation continues to be a challenge despite over 25 years of research.

  • How using a Deep Neural Network (DNN) as a pixel classifier can help overcome the central problem of automatic rock fragmentation.

  • The accuracy of results with the proposed deep learning technique compare to those with manual rock segmentation.

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