Method for recognizing patterns of blueprint cloth

Abstract

The invention provides a method for recognizing patterns of blueprint cloth. The method includes the steps that digital collection of target design patterns is carried out, RGB preprocessing is conducted on the collected target design patterns, after RGB preprocessing is completed, a design pattern to be detected is obtained for conducting color feature quantization and color feature extraction, and after RGB preprocessing is completed, the design pattern to be detected is obtained for extracting a shape feature vector; the similarity value of an extracted color feature vector and the color feature vector of a standard design pattern is determined, and the similarity value of the extracted shape feature vector and the shape feature vector of the standard design pattern is determined; a corresponding searching weight number is obtained by integrating the weight number of color features and the weight number of shape features, and the similarity of the target design patterns is determined according to the searching weight number. The multi-feature search method which is mainly dominated by the color features and supplemented by the shape features overcomes the defect that the success rate of single-feature search is low, and compared with a single-feature search method, the method has better effect.

Description

technical field [0001] The invention relates to the application field of image retrieval technology, in particular to a blue calico pattern retrieval method based on color features and shape features. Background technique [0002] Blue calico was approved by the State Council in May 2006 and included in the first batch of national intangible cultural heritage list. Mr. Wu Yuanxin, a master of arts and crafts, sorted and collected tens of thousands of objects and pictures since the Ming and Qing Dynasties, and preserved tens of thousands of pattern paper plates, and published the collection volume of "Complete Collection of Chinese Blue Calico Patterns". However, there is very little research and development work on the inheritance and protection of the intangible cultural heritage - "blue calico" project using advanced management concepts and information and digital technical means, and it can even be said to be blank. [0003] At present, although the image computer retrie...

AI Technical Summary

Problems solved by technology

Among them, category retrieval is the earliest, and it is easy to implement but the detection rate is low; text retrieval technology is mature and the detection rate is high, but it generally has shortcomings such as inaccuracy and unclear description of image content, which is not suitable for image content retrieval; Content-based retrieval focuses on the visual features of the image itself, which is most in line with people's intuitive perception of images, but it is the most technically difficult to implement

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