Pattern matching method based on texture block matching

Abstract

According to the pattern matching method based on texture block matching, a user can be allowed to realize high-precision and high-consistency ethnic culture pattern segmentation through few interactions, and meanwhile, the quality of vectorization and other ethnic culture pattern digital analysis can be improved. The method comprises the following steps: firstly, finding out all patterns similarto patterns specified by a user by using global block matching; then, detecting a rotation relationship between similar patterns by utilizing local block matching, and further establishing dense correspondence between the similar patterns through constrained block matching; and finally, realizing segmentation collaborative optimization of all similar patterns by utilizing the collaborative optimization model provided by the invention. The method has the advantages of less interaction, high precision, structure protection and the like, can ensure the segmentation consistency between similar patterns, and has a promotion effect on improvement of digital analysis of national culture patterns such as vectorization.

Description

technical field [0001] The invention relates to a pattern matching method based on texture block matching using computer technology. Background technique [0002] Ethnic cultural patterns are the symbolic language of ethnic culture, and are widely used in the daily life of people of all ethnic groups such as ethnic costumes, carpets, and furniture. It is a concentrated expression of national culture and national beliefs, and is also an important part of my country's intangible cultural heritage. Digital photography and collection is an effective means to permanently preserve ethnic cultural patterns, and image-based digital analysis is the only way to inherit and develop the ethnic culture contained in ethnic patterns. Since ethnic cultural patterns appear in the form of regions in images, accurate segmentation of ethnic cultural patterns is the key to subsequent digital analysis. Applications such as extraction of ethnic cultural patterns, vectorization, redesign, etc. al...

AI Technical Summary

Problems solved by technology

[0003] Although ethnic cultural patterns usually have clear colors and obvious shape features, there are many challenges to achieve more accurate ethnic pattern segmentation: 1) Due to the limitation of collection methods, the image quality of ethnic cultural patterns is not high, which leads to the existing automatic segmentation method It is difficult to preserve the main structural features; 2) Due to the diversity of carriers used for ethnic cultural patterns, the existing methods to obtain high-precision segmentation results rely on a large number of manual interactions, but the number of ethnic cultural patterns that need to be segmented in digital resources is extremely large, making interaction The goal of segmentation is difficult to achieve; 3) There are many similar patterns in national cultural patterns, these patterns are not exactly the same, and can show certain changes in different application scenarios and decorations, whether it is automatic or manual segmentation, their segmentation results are usually Inconsistency occurs

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