基于Fisher變換的多尺度圖像識(shí)別方法及其車形識(shí)別應(yīng)用
A Multiresolution Image Recognition Method Using Fisher Transform and Its Application to Car Type Recognition
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摘要: 該文提出了一種圖像識(shí)別方法。該方法首先對(duì)識(shí)別圖像進(jìn)行多尺度小波分解，把不同尺度的分解結(jié)果組織為分解向量，再對(duì)分解向量作Fisher變換。在Fisher變換域內(nèi)依據(jù)最小絕對(duì)距離(或相對(duì)距離)識(shí)別圖像。該方法主要依據(jù)小波分解低頻分量進(jìn)行識(shí)別運(yùn)算，對(duì)噪聲不敏感：同時(shí)識(shí)別結(jié)果已經(jīng)融合多尺度的識(shí)別運(yùn)算，故目標(biāo)圖像大小對(duì)識(shí)別結(jié)果影響較弱。實(shí)踐證明，該方法正確識(shí)別率高，魯棒性強(qiáng)。
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關(guān)鍵詞:
- 圖像識(shí)別; 小波; 多尺度; Fisher變換
Abstract: This paper introduces a new multiresolution image recognition method. At first, it makes multi-wavelet division over the image, organizes the corresponding components of different resolution into a vector. Then, makes a Fisher transform over the vectors. Recognition is based on the sum of the absolute distance between the vector of the unknown object and the vector of the template or based on the relative distance which is defined as the absolute distance between the vector of the unknown object and that of the template divided by the distance between the vectors of the corresponding templates in the Fisher transformed domain. Because the recognition is mainly dependent on the low frequency component, the method is insensitive noise pixels in the images. Because the recognition procedure has included multiresolution recognizing computation, the right rate of recognition is in sensitive to the dimension size of the image in some degree. The practice of the method proves that the right rate of recognition is very high and the robustness of the method is strong. -
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