Detection of fabric defects based on Gabor filter
Source abstract
Abstract
The enhanced principle of defective edge based on Gabor filter is narrated from the texture model of defective fabrics.The self-adaptive Gabor filter is designed according to fabric features which determine the central frequency of Gabor filter.Then,the designed Gabor filter is applied to enhance fabric defects with directional aberration and the defective edges test of the fabric is finished through threshold value processing.The experimental results show that self-adaptive Gabor filter of fabric well enhance the edge of directional aberration defect,which can make prominent the energy of fabric texture while restraining the energy of defective texture.The maximum test speed of this method can achieve 7m/min.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Industrial Vision Systems and Defect Detection · Image Processing Techniques and Applications · Advanced Measurement and Detection Methods
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