Rapid paper detection and segmentation method based on spatial constraint condition

Abstract

The invention discloses a rapid paper detection and segmentation method based on a spatial constraint condition. The method comprises the following steps of establishing a reference coordinate systemin an image, detecting a straight line in the image, and screening the detected straight line according to the length; performing paper boundary judgment on the screened straight line segment to obtain the upper, lower, left and right boundaries of the paper, and obtaining the coordinates of the four vertexes of the paper according to the four boundaries; and performing image segmentation on the paper by using the coordinates of the four vertexes to obtain a paper image. According to the method, the rapid detection and segmentation of the paper are realized by utilizing the spatial constraintconditions, the paper can still be rapidly and accurately detected under the conditions of different desktop backgrounds and operations such as rotation and movement of the paper by a user, and the method has the advantages of being easy to operate, more friendly, high in real-time performance, low in cost and the like.

Description

technical field [0001] The invention relates to the fields of computer vision and human-computer interaction, in particular to a fast paper detection and segmentation method based on space constraints. Background technique [0002] In recent years, with the rapid development of computer technology, human-computer interaction methods have also developed more and more diversified. Compared with the traditional human-computer interaction methods using hardware such as keyboards and mice, the user-centered human-computer interaction method has become a research hotspot and direction of human-computer interaction because it is more direct and natural, and more in line with people's habits. New interactive devices represented by Google Glass, LeapMotion, Kinect, etc. provide users with a new human-computer interaction experience. At the same time, the pen-style interaction method reduces the cognitive load of the user in the process of interacting with the computer through the da...

AI Technical Summary

Problems solved by technology

Document 4 aims at the problem that traditional vision algorithms are difficult to robustly track blank paper lacking texture information, and proposes a compressive sensing paper tracking algorithm with structural constraints. track [4]

The key issue of how to accurately detect and segment paper images with text written in the pen-based interactive mode is rarely studied.

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