畢業(yè)論文基于小波變換手指靜脈去噪技術(shù)-展示頁
2025-07-07 10:19本頁面
【正文】 的缺點(diǎn)，如手指過濕、過干或出現(xiàn)手指暴皮等特征損傷時(shí)，或者手指有污物等都會(huì)影響識(shí)別效果。 detail signal1 引言隨著信息化時(shí)代的到來，信息的安全性與保密性引起了人們普遍的高度重視。 image denoising。仿真結(jié)果表明，此方法可有效的去除噪聲，增強(qiáng)手指靜脈圖像清晰度。 ` Civil Aviation University of China靜態(tài)小波變換在手指靜脈圖像去噪中的應(yīng)用課程名稱 小波分析 姓 名 李亞楠 學(xué) 號(hào) 1204033 導(dǎo) 師 楊金鋒 教授 靜態(tài)小波變換在手指靜脈圖像去噪中的應(yīng)用摘要：在手指靜脈識(shí)別技術(shù)中，由于在靜脈采集過程中受到儀器設(shè)備、光照等因素的影響，采集的靜脈圖像對(duì)比度往往較低、噪聲較多，給最終的識(shí)別帶來很大的不便，所以在識(shí)別之前對(duì)靜脈圖像進(jìn)行去噪處理是很有必要的。本文采用靜態(tài)小波變換的圖像去噪，首先對(duì)原始靜脈圖像進(jìn)行兩層靜態(tài)小波變換，然后根據(jù)不同頻層的特點(diǎn)分別作去噪處理。關(guān)鍵詞: 靜態(tài)小波變換；圖像去噪；逼近信號(hào)；細(xì)節(jié)信號(hào)Application of SWT Theory for Finger Vein in Image Denoising Abstract: In fingervein recognition, since the acquisition process is affected by fingervein equipment, lighting and other factors, the contrast of the vein image is often low, have much noise, and it brings great inconvenience to the final recognition. So before identifying vein image denoising processing is necessary. This article applied the SWT theory for finger vein in image denoising. Firstly, applied twodimensional static wavelet transform to the original image, then we made use of the different characteristics of each frequency band to design different methods of denoising res
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