Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a new method for inspection of textile defects in fabrics is presented. The method is based upon the extraction of fabric features by Gabor wavelets. The Gabor wavelets transform provides an effective way to analyze images and extract features of textures. Principal component analysis using singular value decomposition is used to reduce the dimension of feature vectors. Performance of the method has been tested with defective fabric images taken from TILDA textile texture database. Experiments show that these defects are detected accurately.
['Alper Basturk', 'Halil Ketencioglu', 'Zeki Yugnak', 'M. Emin Yüksel']
I am writing a research paper on a idea Inspection of defects in fabrics using Gabor wavelets and principle component analysis
[{"from": "human", "value": "I am writing a research paper on a idea Inspection of defects in fabrics using Gabor wavelets and principle component analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a new method for inspection of textile defects in fabrics is presented. The method is based upon the extraction of fabric features by Gabor wavelets. The Gabor wavelets transform provides an effective way to analyze images and extract features of textures. Principal component analysis using singular value decomposition is used to reduce the dimension of feature vectors. Performance of the method has been tested with defective fabric images taken from TILDA textile texture database. Experiments show that these defects are detected accurately."}]