1. A method comprising: capturing image data from a manufactured material using an image capture device; applying a first one of a plurality of normalization functions to the image data to produce a first normalized value for each pixel of the image; applying a second one of plurality of normalization functions to the image data to produce a second normalized value for each of the pixels; computing a final normalized value for each pixel as a sum of a portion of the first normalized value and a portion of the second normalized value for each of the pixels; processing the final normalized values to identify regions on the manufactured material containing anomalies that represent potential defects in the manufactured material; analyzing the anomalies to determine a defect distribution profile for the manufactured material; adjusting the portion of the first normalized value and the portion of the second normalized value used when computing the final normalized value for each of the pixels so that the defect distribution profile is substantially uniform; and, wherein computing a final normalized value for each pixel comprises applying a higher-ordered polynomial in which a plurality of different normalization schemes are applied on a per-pixel basis and summed using coefficients that achieve a substantially uniform defect detection for a field of view of the image capture device.