Portrait paper-cut generation method

Abstract

The invention discloses a portrait paper-cut generation method, which comprises the following steps: decomposing a portrait paper-cut according to five sense organs of a human body so as to respectively establish an eyebrow subtemplate library, an eye subtemplate library, a nose subtemplate library, a mouth subtemplate library and an outer contour subtemplate library; receiving an input image to obtain positioning coordinates of eyebrows, eyes, a nose, a mouth and an outer contour of a person in the input image; extracting feature regions of the input image according to the positioning coordinates, wherein each feature region corresponds to an image block; processing each image block by using an OSTU based dynamic threshold algorithm so as to generate a binary sequence of each image block; and computing the distance between each binary image in the binary sequence of the i(th) image block and a corresponding image block so as to find out a window size index number corresponding to a binary image with the minimum distance, and carrying out binarization processing on the input image by using a window size corresponding to the window size index number so as to obtain a binary image set. According to the invention, the artistic characteristics of paper-cuts are added into a portrait paper-cut algorithm, thereby ensuring the artistic properties of portrait paper-cuts.

Description

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AI Technical Summary

Benefits of technology

This patented technology reduces the required for images with different levels of detail or brightness compared to previous methods while still generating good results without sacrificing sharp edges like those produced through cutting off parts from an original document. Additionally, this new method produces unique shapes when trimmed onto other documents due to its strong resistance against noise interference. These improvements make it easier than older techniques such as scanning them into digital form.

Problems solved by technology

Technological Problem addressed in this patents describes various technical aspects related to generating high quality images (images containing detailed shapes) without losing their original shape due to factors like lens distortion caused by external lights during imagery capture. Current techniques involve static thresholds applied over entire sections of the captured scene, resulting in loss of visual appeal while ignoring previous relationships. There needs improvement upon these current solutions.

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