Techniques for detection of surface corrosion on infrastructure using a color channel-based classifier and deep learning model

A method for detecting surface corrosion on infrastructure, comprising:

• receiving a training dataset that includes a plurality of images of infrastructure that have at least some surface corrosion;
• applying an optimized color channel-based classifier executing on one or more computing devices to the plurality of images to label corrosion segments in the images and produce a labeled training dataset with labeled corrosion segments, wherein the color channel-based classifier identifies pixels that have values for one or more color indices that are within one or more bounds to determine the corrosion segments;
• training a semantic deep learning model executing on the one or more computing devices using the labeled training dataset to enable the semantic deep learning model to detect corrosion segments;
• applying the trained semantic deep learning model to an input dataset that includes one or more images of infrastructure that include at least some surface corrosion to label corrosion segments in the images of the input dataset and produce an output dataset with labeled corrosion segments;
• and
• displaying in a user interface or storing to a memory/storage of the one or more computing devices indications of the labeled corrosion segments of the output dataset.

A non-transitory electronic device readable medium having instructions stored thereon that when executed on one or more processors of one or more electronic devices are operable to:

• receive a training dataset that includes a plurality of images of infrastructure of that have at least some surface corrosion;
• optimize a color channel-based classifier by selecting one or more color indices for pixels and determining one or more bounds for each of the selected color indices that indicate a pixel is a corrosion pixel or non-corrosion pixel;
• apply the optimized color channel-based classifier to the plurality of images to label corrosion segments in the images and produce a labeled training dataset with labeled corrosion segments, wherein the optimized color channel-based classifier identifies pixels that have value for one or more color indices that are within the one or more bounds as the corrosion segments;
• train a model using the labeled training dataset to enable the model to detect corrosion segments;
• and
• provide the trained model to detect surface corrosion in images of infrastructure.