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題名 | 模型估測應用於影像處理之研究與設計=Application of the Model Predict in the Image Progess Study and Design |
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作者 | 胡永柟; 陳傳傑; 陳茂林; Hu, Yung-nan; Chen, Chuan-jie; Chen, Mao-lin; |
期刊 | 明志學報 |
出版日期 | 20050600 |
卷期 | 37:1 2005.06[民94.06] |
頁次 | 頁41-49 |
分類號 | 312.1 |
語文 | chi |
關鍵詞 | 影像辨識; 頻譜分析圖; The image recognition; AR-model; Levinson; Frequency analysis chart; |
中文摘要 | 隨著科技的進步,影像辨識的應用層面也越來越廣泛,例如:人臉、鈔票、指紋...等。一般的影像處理、分析與辨識、均是將整張影像圖片作某些特徵處理,再依照特徵點去與其他影像圖片做比對,進一步得到兩者間的相似度。但若是影像信號被干擾時,有時圖片上並無法清楚察覺,使得在辨識上有了誤判而無法得到良好的效果。因此,本文擬將提出將影像圖片先作AR-Model 頻譜分析,並透過Levinson的預估,針對影像每一列作256灰階的預估,依此預估作一影像的3-D頻譜分析圖,再依此與受雜訊干擾之圖像或與新進影像之3-D頻譜圖做比對,將有效且快速的辨識影像,經模擬驗證本文之設計是可行的。 |
英文摘要 | With the progress of science and technology, the application aspect that the image recognition is more and more extensive, for example: face of people, currency, fingerprint etc. The general image is dealt with, analyzed and recognition characterisitics of the whole image picture, then according to characteristic to compare with other image picture in order to, get similar degree between the two. But when the image signal is interfered, it is unable to perceive clearly on the picture sometimes, and unable to receive the good result. So, this paper plans to propose doing first that frequency analysis of AR-Model, and through the estimating in advence of Levinson, function as the estimating in advance of 256 gray steps to every one of image, estimate and make a primitive image in advance of frequency analysis chart, and compare it with the 3-D frequency analysis ahart of a new image or with a image which has noise, then the image can be discriminated fast and successful. The simulation result proving that the design of this paper is feasible. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。