Artificial intelligence assisted platform for multi-feature image analysis

A non-transitory computer-readable medium comprising computer-executable instructions that, when executed by one or more processors, cause one or more central processing units (CPUs) to:

• obtain a set of images of at least one porous media sample;
• apply at least one of adaptive local thresholding, automated global thresholding, and morphological operations to one or more of the set of images;
• based on the applying, mask a set of macro-pores within the at least one porous media sample using an estimate of the set of macro-pores, wherein the estimate for each of the set of macro-pores represents a segment of the at least one porous media sample;
• obtain a set of clusters generated based, at least in part, on a masking;
• and
• apply a marker-controlled watershed segmentation procedure to the set of clusters.

An apparatus for image processing comprising a memory and one or more central processing units (CPU), the one or more CPUs configured to cause the apparatus to:

• obtain a set of images of at least one porous media sample;
• apply at least one of adaptive local thresholding, automated global thresholding, and morphological operations to one or more of the set of images;
• based on the applying, mask a set of macro-pores within the at least one porous media sample using an estimate of the set of macro-pores, wherein the estimate for each of the set of macro-pores represents a segment of the at least one porous media sample;
• obtain a set of clusters generated based, at least in part, on a masking;
• and
• apply a marker-controlled watershed segmentation procedure to the set of clusters.