Research based on digital image of line detection technology
ABSTRACT
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.
Key words：Hough transform line detection Image processing
