The application of gabor filter in fingerprint segmentation 濾波器在指紋圖像分割中的應(yīng)用
The principle of gabor filter is expounded 闡述了gabor濾波器原理。
( 4 ) a fingerprint image enhancement method based on gabor filter is presented and realized ( 4 )給出并實現(xiàn)了一種基于gabor濾波的指紋圖象增強改進方法。
The neural network recognizing algorithm based on multi channel gabor filter feature is presented 相應(yīng)地給出了一個基于多通道gabor濾波器特征神經(jīng)網(wǎng)絡(luò)識別算法。
The multi channel gabor filter is designed based on theory and practicality , the texture features of gray image target are extracted 根據(jù)理論分析和實際需要,設(shè)計了多通道gabor濾波器,提取了灰度圖像目標(biāo)紋理特征。
Different fonts are regarded as different textures , then font is identified through texture analysis with multi - channel gabor filters 將不同字體的文本看作不同的紋理,使用多通道gabor濾波器的紋理分析方法識別字體。
In gabor filter , we use eight directional filtering to process fingerprint image to compare wiener filtering , we get good process result 在預(yù)處理中,采用八個方向的gabor濾波對指紋圖像進行濾波,把它與維納濾波作比較,得了較好的試驗結(jié)果。
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 本文使用gabor濾波器,多尺度提取方向特征,在對方向性強的紋理特征的分割中有很好的效果。
By comparison among the results when using a lot of algorithms in feature extraction , we choose gabor filter for its good quality in low frequency 通過對多種算法進行比較,本文選擇了使用gabor濾波作為提取紋理的特征的方法。在特征分類算法中,本文選擇簡單的聚類算法。
The improvements make segmentation more effective . in image enhancement , the paper improves the algorithm of fingerprint image enhancement based on gabor filter according to its disadvantages 改進后的分割算法對對比度不均衡、較復(fù)雜噪聲的指紋圖像均具有滿意的分割效果。
In image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filters are similar to those of the human visual system, and they have been found to be particularly appropriate for texture representation and discrimination.