Fabric fuzziness refers to the severity of hairiness of a fabric caused by untangled fiber ends protruding from the surface, and indicates fabric deterioration in structure and appearance after repetitive abrasions in service. Although the average height and density of protruding fiber ends are the information that can be directly used to evaluate fuzziness, fiber ends are often too short and too fine to permit reliable measurements of fiber heights and density over a large area. In practice, visual examinations are often used for fuzziness evaluation despite the subjective nature of the method. An instrument that can perform reliable and quick evaluations of fuzzy appearance has been long demanded. This paper introduces the application of the wavelet transform to quantifying fabric fuzziness in a customized image analysis system. An index is constructed from the average powers of the components from different frequency bands, and is demonstrated to be indicative of fabric fuzziness.