This chapter presents an approach to detect corrosion on FeCo pole tip. The developed approach improves the accuracy, specificity, robustness, as well as rapidness of detection in order to handle the problem under the time constraint imposed by the industrial environment. The approach starts by extracting the top‐shield region of the FeCo pole tip from the input images. A specially designed filter is then applied to the top‐shield region to highlight possible corrosion on the bottom contour of the top shield. Only the feature values that follow the criteria are used for decision fusion with the second feature (the area‐based feature) to detect a defect. The experiment with several images showing different corrosion configurations demonstrates the high accuracy and specificity with low computational cost. The algorithm is readily implementable in industrial productions lines. The extracted features are specific for corrosion detection on FeCo pole tip image.