Fuzzy recognition of fabric texture with double conditions
Source abstract
Abstract
In order to extract the texture of fabric image,a new fuzzy recognition method on double conditions is proposed.With this algorithm,the gray level of image is analyzed to determine the standard fuzzy set of gray wave in any row and column.And then,the membership function considering different gray values and pixel positions on double condition is given to classify the gray wave in any row and column,which is transformed into the gray wave of texture with only two gray values.And finally,all gray wave combinations of texture are reduced into binary texture image of fabric,thus providing a basis for subsequent image analysis for recognitions of density,texture evenness,and defects.Experiments and analysis show that this algorithm can establish a gray wave with pulse characteristic according to the fuzzy partition of gray wave and binary texture image extraction of fabric with two gray values.Therefore,this algorithm can provide simple and useful data models of fabric texture for further parameters analysis of fabric images.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Industrial Vision Systems and Defect Detection · Textile materials and evaluations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References
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