Geometrical correction method, device and binocular stereoscopic vision system of text image

Abstract

The invention discloses a geometrical correction method, a device and a binocular stereoscopic vision system of a text image, belonging to the field of image processing. The geometrical correction method comprises the steps of: constructing a binocular stereoscopic vision system, obtaining respective internal parameters and mutual external parameters of two lenses in the binocular stereoscopic vision system, and obtaining respective projection matrixes of the two lenses; respectively performing characteristic extraction on the images acquired by the two lenses in the binocular stereoscopic vision system, performing stereoscopic match and purifying the obtained matching points; calculating tridimensional coordinates of corresponding points in the text image according to the obtained matching points, and judging the text trend direction in the text image; and fitting a text trend curve according to the text trend direction, discretely expanding the text trend curve, and reconstructing to obtain a corrected text image. The geometrical correction method of the invention is not affected by text contents or set types, so that the geometrical correction method is especially suitable for the geometrical distortion correction of texts with complex layouts, and the geometrical correction method can be used for processing various types of text images, thereby greatly improving the application range of geometrical distortion correction.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to an image processing method and device, in particular to a text image geometric correction method and device and a binocular stereo vision system. [0002] Background technique [0003] There are two main ways to collect text images: scanning the text through a scanner; shooting through various cameras and cameras. When scanning with a scanner, it is usually necessary to disassemble or flatten the manuscript before scanning, which is generally not used. If the manuscript is directly scanned on a scanner or photographed directly by a camera or camera, due to factors such as the spine and thickness of the book, the manuscript itself will inevitably be distorted such as bending, which not only affects the beauty of the image, but also affects the subsequent OCR recognition applications. Therefore, it is very important to perform geometric correction on the captured text images. [00...

AI Technical Summary

Problems solved by technology

However, this type of method often requires preprocessing such as layout analysis and binarization first. The results of these preprocessing directly affect the quality of distortion correction, and this type of method mainly relies on the information of text lines. In the case of vertical arrangement, nothing can be done

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