用VC6.0實現亞像素邊緣精密檢測

論文字數:6895,頁數:20

摘 要
 在光測進行各種精密測量的領域中，提高光測系統測量精度最直接的方法就是提高 CCD攝像機分辨率，即增加像素點數。近二十年來，在光測數字圖像處理領域，許多研究者試圖利用軟件處理的方法來解決圖像中目標的高精度定位問題。如果能用軟件方法將圖像上的特征目標定位在亞象素級別，就相當于提高了系統精度。本文介紹了一種基于多項式插值法的改進的亞像素精度邊緣檢測算法及相應計算模板和公式.本算法應用在經典Sobel算子基礎上構造出的方向模板,對灰度圖像進行處理,得到梯度圖像,然后在梯度圖像上沿目標邊緣的梯度方向進行多項式插值法亞像素細分計算,對目標邊緣進行亞像素精確定位。并且用VC++實現該算法。
 關鍵詞：亞像素，圖像測量，精度邊緣檢測，圖像分割
  

Abstract
 In the field of the flash ranging system carrying on each kind of precision measurement, improving the CCD camera resolution ratio is the most direct method to improve the measuring accuracy of the flash ranging system. In the flash ranging digital image processing domain, many researchers have attempted to solve the question of high accuracy localization in the image using the software for the recent 20 years. It is equal to increase the precision of the system, if we can locate the characteristic target of an image in the sub pixel rank using the software. An improved sub pixel edge detecting algorithm which is based on the polynomial interpolation, calculating template and formula have been introduced in this text. This algorithm applies to the direction template based on the classical Sobel operator. We can obtain the gradient image through processing the gray image and then carry on the sub pixel segmentation computation along the gradient direction of the target edge using the polynomial interpolation in the gradient image to fix the position of the target edge accurately. All these algorithms are realized with the VC++.
 
 Key words: sub pixel, image measure, and precision edge detection.
 

目   錄
摘 要 I
Abstract II
第1章  前言 1
1.1 背景 1
1.2 亞像素概念 1
1.3 研究現狀 2
1.4 本章小結 2
第2章  開發工具和數字圖像基礎知識 3
2.1 Visual C++6.0簡介 3
2.1.1工具簡介 3
2.1.2 MFC簡介 4
2.2 數字圖像其本概念 5
2.2.1 數字圖像的表示 5
2.2.2 Sobel原理 5
2.3 本章小結 7
第3章 算法 8
3.1 算法原理 8
3.2 算法流程圖 11
3.3 本章小結 11
第4章  程序結果與分析 12
4.1圖片的邊緣處理 12
4.2 亞像素精度 13
4.2.1精度分析 13
4.2.2亞像素精度實驗結果 13
4.3 本章小結 15
第5章 總結 16
第6章 致謝 17
第7章　參考文獻 18