Interactive trapping method

Abstract

The invention discloses an interactive tapping method, and belongs to the technical field of trapping. The method comprises the following steps of: setting an image trapping attribute by setting a trapping rule template; after a contour area to be processed of an image to be processed is selected, extracting the boundary of the image in the contour area to be processed, and performing boundary segmentation on the boundary of the image in the contour area to be processed; and performing boundary trapping on a boundary to be trapped consistent with a trapping condition in the segmented boundary according to the set image trapping attribute and set trapping rules. According to the method, only a boundary part in the selected contour area is trapped, so that the damage of entire blind trapping to the information of an original image is avoided, and a good trapping effect is achieved.

Description

technical field [0001] The invention relates to the field of trapping, in particular to an interactive trapping method oriented to the technical field of prepress plate making. Background technique [0002] In order to make up for the inaccurate printing overprint, all printed manuscripts must be trapped. With the improvement of the economic level, the demand for printing business also increases. Prepress plate-making enterprises urgently need to improve production efficiency to meet the increasing business needs. Trapping is one of the most important links. It takes a long time, and the production is cumbersome and error-prone. Trapping automation technology has high accuracy and high efficiency, and can provide good interactive operation to meet the individual needs of users. [0003] Most of the existing trapping software is limited to trapping between graphics (vectors), using the graphics path as a trapping edge to judge the ink density of the color blocks on both side...

AI Technical Summary

Problems solved by technology

This type of method does not satisfy image trapping. The edge of the image that needs to be trapped does not exist in the form of a path. It needs to be analyzed and extracted through pixel density, but the method of trapping completely through pixel density levels will cause confusion in the direction of the effect after trapping. Meet the actual trapping needs, and cannot make up for the inaccurate printing defects

[0004] For image trapping, existing products provide image internal trapping, which usually relies on image contour boundaries or differences between pixels for trapping. The direction of trapping is uncontrollable, and the trapping at the intersection of sharp corners and edges is incomplete. There is a phenomenon of double-sided trapping, which cannot meet the needs of making exquisite trapping effects, and cannot provide personalized customization needs. To realize the internal trapping of images, it can only be artificially recreated, that is, by making selections and smearing design schemes by hand. This method of operation It is cumbersome, time-consuming, and has great limitations. It is equivalent to the redesign of the image, and it is easy to smear and make mistakes, which will affect the final trapping effect

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