Image Rectification of Industrial Equipment Nameplate Based on Progressive Probabilistic Hough Transform

Abstract

In this paper, we put forward an industrial nameplate picture correction method based on Progressive Probabilistic Hough Transform. Our method can effectively correct the image tilt caused by the wrong shooting direction. Even the oblique images taken from a long distance have certain effects. We also introduce the Mining Equipment Nameplate Dataset. The frame of the industrial nameplate is quadrilateral. The two sides of the nameplate border in the photo will cross each other after being extended. This result is caused by the tilt of the shooting angle. Our method firstly grays the picture. Then binarizes the image and Gaussian smoothing filter. We use the Progressive Probabilistic Hough Transform to locate the two longest line segments in the picture. The four endpoints of the two line segments are the four endpoints of the quadrilateral. Finally, the correct picture is obtained by perspective transformation. Our method makes the nameplate text more visible, and the detection method is fast and effective. The pictures obtained by experiments are clearer and easier to observe. In the second half of the article, we list some experimental results. Our method can well handle the requirements in actual production.