Cloth color card image retrieval method

Abstract

The invention provides a cloth color card image retrieval method. The method comprises the following steps: (I) constructing a color and texture feature granular space of a cloth color card image data set; (II) acquiring a cloth color card image to be retrieved and extracting the color and texture feature information of the image; (III) retrieving K most adjacent cloth color card images which are closest to the cloth color card image to be retrieved from a cloth color card image granularity database. Cloth color card image granularity spaces of different granularities are constructed by adopting a granularity computation method following a binary relation in combination with a data mining technology, and multi-layer classification and retrieval can be performed on the images by simulating the image identification and retrieval ways of humans through an image retrieval method based on image granularity spaces of different granularities, so that the problem of difficulty in finding materials, retrieving materials and classifying in the current cloth product processing field is solved.

Description

technical field [0001] The invention relates to the technical field of classification and retrieval of fabric color card images, in particular to a fabric color card image retrieval method. Background technique [0002] Cloth is a kind of daily necessities raw material that is closely related to people's daily life. There are a wide variety of products made of cloth as raw materials, and they are used in various fields such as textiles, agriculture, commerce, medical care, and military industry. China is a big country in the consumption and production of fabric products, and at the same time, China is also a big country in the production and export of fabric products. The fabric manufacturing industry is an important part of my country's light industry and a traditional advantageous industry. However, with the development of technology and market, the competition in the domestic and foreign fabric processing industry is becoming more and more fierce. In order to maintain ...

AI Technical Summary

Problems solved by technology

Manual search requires a lot of manpower and financial resources

[0005] (2) Difficulty in picking materials: For raw materials obtained by two different methods, it is necessary to inspect the process

This can be a very large and tedious job when the number of cloth raw materials is large and varied

At the same time, because this work requires more prior knowledge, it is not very good for new employees to complete this work

[0006] (3) Classification is difficult: the management of fabric raw materials is a very important task

Manually completing this work also requires a lot of human and financial resources

Images