Detection of Synthetic Singularities in Natural Textures and Mammographies using Nearly Spherical Wavelets and filters
نویسندگان
چکیده
The efficiency of defect detection for filters and wavelets is a fundamental problem in image processing. It has recently been shown that natural symmetries such as rotational invariance is of primary importance to solve this problem [1, 2]. We herewith investigate the detection of tunable singularities in natural textures from the Brodatz database and in parts of mammographies. We compare several filters and show that the efficiency of pointwise defect detection is intimately related to their rotational invariance property.
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