邊緣檢測本科畢業(yè)設計論文

1、 編 號： 號： 審定成績： 審定成績： 重慶郵電大學 重慶郵電大學畢業(yè)設計（論文） 畢業(yè)設計（論文）設計（論文）題 設計（論文）題目： 目： 數(shù)字圖像微分算子邊緣檢測 數(shù)字圖像微分算子邊緣檢測學 院 名 稱 ： 計算機科學與技術 計算機科學與技術學 生 姓 名 ： a專

2、 業(yè) ： 軟件工程 軟件工程班 級 ： 1310402學 號 ： 04370228指 導 教 師 ： a答辯組 答辯組 負責 負責人 ：填表時間： 填表時間： 年 月重慶郵電大學教務處制 重慶郵電大學教務處制重慶郵電大學計算機科學與技術學院本科畢業(yè)設計(論文)IIABSTRACTIn Segmentation Study and Application of Technolog

3、y, the image edge detecti-on is a most fundamental and important way. Edge detection in recent years has been broad and sustained attention and study, is the digital image processing on a hot and difficult one. Based on

4、differential operator for the study, for edge dete-ction, the use of differential edge detection operator to carry out a detailed analy-sis of the first order differential operator to improve and enhance the first-order

5、differential operator of the anti-noise, through this research, the following progress has been made:1. On the current status of the image edge detection and the use of differen-tial operator for the edge detection theor

6、y was discussed.2. This paper has a research and analysis in first-order differential operators includes Roberts edge detection, Prewitt edge detection, Sobel edge detect-ion and direction edge detection. In this paper,

7、the realization theory is d-escribed in detail; the algorithm is realized by programming, and doing a comparison among the first-order differential operators.3. The first order of the differential operator to improve the

8、 algorithm will operate in addition to noise and the first differential operator for the comb-ination, which has effectively improved the first order differential operator of the anti-noise capability.4. This paper has a

9、 research and analysis in the second-order differential op-ertor includes Laplacian edge detection and Marr edge detection. The alg-orithm is realized by programming with VC++, and doing a compares-on among the second-or