Image retrieval method and apparatus

Abstract

The invention relates to an image retrieval method and apparatus. The method comprises the steps of: obtaining a to-be-retrieved image from a user terminal; converting the to-be-retrieved image to HSV space from RGB space; quantizing the converted to-be-retrieved image into N-dimensional color features; sorting the feature values of the N-dimensional color features in a descending order, and selecting the first M-dimensional color features as main color of the to-be-retrieved image; determining a cluster index table name of the to-be-retrieved image according to an index value corresponding to the main color; querying whether a cluster index table with the same name as the cluster index table of the to-be-retrieved image exists in the established cluster index table according to a name of the cluster index table; if existence, obtaining an image index of the corresponding image; querying main color percentage of the corresponding image according to the obtained image index; calculating the image similarity according to the main color percentage; and returning an image matched with the to-be-retrieved image to the user terminal according to the similarity. The image retrieval method and apparatus disclosed by the invention remarkably improve the image retrieval efficiency and accuracy.

Description

technical field [0001] The disclosure relates to the field of computer image retrieval, in particular, to an image retrieval method and device. Background technique [0002] With the popularization of Internet applications and the rapid development of multimedia technology and computer technology applications, as well as the popularization and application of large-capacity storage devices and digital devices, the presentation of information has gradually evolved from traditional text to graphics, images, video, audio, etc. Multimedia information-based form. Among them, images, as the most important carrier of information transmission, have penetrated into all aspects of people's lives. Therefore, how to quickly and accurately find the desired digital image from the large-capacity image database has become one of the hot spots in multimedia technology research in recent years, and has broad economic value and market prospects. [0003] As one of the methods for image global...

AI Technical Summary

Problems solved by technology

However, the number of dominant color descriptors extracted by this method is not fixed, which increases the complexity of the retrieval process, and the retrieval efficiency is low

[0005] It is also possible to use the method of fixing the number of main colors. However, a method for quickly indexing images has not been proposed so far. In each query, all images in the database are searched and similarity calculations are performed, which will greatly reduce the efficiency of retrieval. and speed

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