Automated Rust Defect Recognition Method Based on Color and Texture Feature
نویسندگان
چکیده
Digital image processing has been applied to diverse industry disciplines. The wide application of digital image processing can be attributed to the following advantages: accuracy, objectivity, fastness, consistency, and the mixture of them. Although the RUst Defect Assessment(RUDA) method [1] was efficiently used to differentiate defective images from non-defective images on blue color coat, its effect on other colors or under specific environmental conditions has not yet been explored. A new steel bridge rust defect recognition method which hybrids Fourier Transform and Color Image Processing is proposed in this paper for automatically recognizing rust defects and adapting to various background colors.
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