gabor滤波器造句

• The principle of gabor filter is expounded
• The neural network recognizing algorithm based on multi channel gabor filter feature is presented
• Iris feature extraction is based on texture analysis using multi - channel gabor - wavelet filtering
• The multi channel gabor filter is designed based on theory and practicality , the texture features of gray image target are extracted
• Different fonts are regarded as different textures , then font is identified through texture analysis with multi - channel gabor filters
• The gabor filter is used to extract the characteristics . in this method , the jet which is a kind of the multi - scaled analysis methods is used , and get a good result
• At the same time , gabor filter is used to extract the global feature of fingerprints from four directions and a graphic user interface is designed for this application
• We excogitate the gabor filter based - on sub - block texture analyse to extract the feature of iris normalized image and encode them . then , we use hamming distance to match two iris codes . in order to reduce the rotation of iris , we work out a new method
• Main works based on the newspaper samples is just as the following : ( 1 ) texture block is designed to embody more font characters . ( 2 ) filter orientation is optimized with genetic algorithm to make the angle set subtler . then the multi - channel gabor filter may extract better features
• The second step is to devise mechanisms for extracting the facial expression information from the observed facial image . images are transformed using a multi - scale , multi - orientation set of gabor filters . since gabor vectors at neighboring pixels are highly correlated and redundant , a rectangular grid is then automatically registered with the face based on the result of face detection
• At first , the paper confirms singular area by singular detection , then designs a series of low - pass filters that have different templates according to the different position in finger image for a local area , at last sets up gabor filter parameters according to the characteristics of fingerprint image . the improved enhancement algorithm has a better robust , and can preserve texture structure of singular area effectively . in binary noise clearance , the paper presents an algorithm that clears the biggish white speckles and black speckles
• Methods in space / frequency domain : a group of gabor filters are used in texture - based image retrieval ; by analyzing how the energy changes with the decomposing of wavelet , tree - structured wavelet transform in texture - based image retrieval is selected to use . as for similarity measurement of texture - based image retrieval , this paper demonstrates two data models related to the similarity measurement and proposes two kinds of multi - feature combination structures
• Though some persons have presented the idea to use gabor for edge detection before , they only gave the one - dimensional ( 1d ) gabor filter - based edge detection method for step edge . this paper not only gives the two - dimensional ( 2d ) gabor filter - based edge detection method for step edge , also the one - dimensional ( 1d ) method for ramp edge
• Then adjust the parameters of gabor filter using the orientation and average ridge frequency at each pixel to realize adaptive filtering . the unrecoverable region is segmented based on orientation certainty . experimental results show a very good visual enhancement effect

• gabor滤波器的英语：gabor filter