利用連續影像之車牌定位及超高解析度方法來增強車牌影像的可分辨度

A Method of Incerasing the Definition of Vehicle License Plate (VLP) Image Using Techniques of VLP Localization and Super Resolution From Sequence of Images.

徐士涵(Shih-Han Hsu)

指導教授 ： 林啟芳

元智大學/資訊學院/資訊工程學系/碩士(2008年)

https://doi.org/10.6838/YZU.2008.00218

摘要

本論文提出了一個整合超高解析度的車牌定位方法，利用連續影像的特性，首先使用陰影偵測演算法將車輛定位出來，再利用回歸方程算出車輛路徑，並以型態學的方式得到可能的車牌區域，沒有正確定位出的車牌或定位錯誤的區塊，透過車輛路徑來估測可能位置，進而讓影片中車牌影像能成為連續的一直線，最後以連續車牌影像套用超高解析度方法，得出一高解析度影像。

關鍵字

車牌定位；移動物體偵測；陰影偵測；超高解析度方法

並列摘要

This study proposes a method of super-resolution integrated License plate localization. By using the attributes of sequence of images. First, locate the vehicle by the shadow detection algorithm, second, compute the moving path by linear regression equation, and then locate the license plate by morphological gradient. Finally, by the sequence of plate images apply to super-resolution algorithm, then we could acquire a high resolution image.

並列關鍵字

License Plate Location；Motion Detection；Shadow Detection；Super Resolution

參考文獻

[27] 梁旻，「利用連續影像進行車牌定位」，元智大學資訊工程研究所，碩士論文，民國96年。

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