范文编号:TX412 范文字数:14888,页数:37 基于数字图像的直线检测技术研究 直线检测是图像处理中十分重要的内容之一,是图像分割的基础,在道路识别,建筑物识别,医学图像分析等领域都有十分重要的应用。在图像处理领域,直线特征经常被用作高层处理,如立体匹配、目标跟踪、物体识别等,所以直线检测和分析对于数字图像处理有着重要的意义。 Line detection is the basis of the image segmentation, and also is one of the most important parts of image processing. It has many important applications on road identification, building recognition, medical image analysis. In the image processing field,line features are often used as a high-level processing,such as stereo matching, target tracking, object recognition. So the line detection and analysis for digital image processing have an important significance. Straight line, especially segment, has simple geometric properties. Using them to describe the edge characteristics of target can be easy to classify regular objects,and improve the efficiency of subsequent image processing. While a number of researchers were devoted to work in the study of line detection,and also developed a number of algorithms, such as chain code detection,DOG function, least squares method, radon transform and so on, but the most mature and most widely used method is still the Hough transform at present. Hough transform was proposed by Paul Hough in 1962, after that, classical Hough transform had been improved by many people.It maks the Hough transform get a better use. Hough transform has many advantages that the robustness is good, the extraction is stable, the precision is high, the anti-chirp nature is strong. Therefore,it not only can recognize simple regular geometric graph in the background, but also can detect the real target of straight line features in complex background. So this article does the line detection for the image with the Hough transform. 目 录 摘 要 I 基于数字图像的直线检测技术研究相关范文 |
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