Image processing method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides an image processing method and device, electronic equipment and a storage medium and relates to the field of image processing technology. The method comprisesthe steps that S10, an image training set is acquired, and visual features of all training images in the image training set are extracted; S20, clustering is performed on the visual features to generate visual dictionaries with clustering centers being visual words, and 1 is added to the quantity of the visual dictionaries; S30, whether the quantity of the visual dictionaries is equal to a predetermined quantity is judged, if yes, the generated visual dictionaries in the predetermined quantity are output, and otherwise the step S40 is executed; S40, the visual words, closest to the visual features, in the visual dictionaries are determined; and S50, residual errors of the visual features and the closest visual words are calculated, the residual errors are used as new visual features, and the step S20 is returned to. Through the technical scheme in the embodiment, the storage scale of the visual dictionaries can be remarkably reduced, and it is convenient to perform deployment on a mobile terminal.

Description

Technical field [0001] The present invention relates to the technical field of image processing, and in particular to an image processing method, an image processing device, an electronic device, and a computer-readable storage medium. Background technique [0002] Image retrieval technology is widely used in the fields of pattern recognition, SLAM (simultaneous localization and mapping, instant positioning and map construction), and artificial intelligence. [0003] The basic concept of image retrieval technology is: given an image to be retrieved, retrieve images or image collections similar to the image to be retrieved from a specific image library. In the current image retrieval technology, such as the image retrieval technology based on the bag-of-words model, when the size of the image database becomes larger, in order to increase the distinguishability of the image vector, a very large visual word scale is usually required. Loading a visual dictionary composed of these visu...

AI Technical Summary

Problems solved by technology

In the current image retrieval technology such as the image retrieval technology based on the bag-of-words model, when the size of the image library becomes larger, in order to increase the distinguishability of the image vector, a very large scale of visual words is usually required. In the image retrieval stage, it is necessary to pre- Loading a visual dictionary composed of these visual words will greatly increase the memory usage, making it difficult to meet the needs of mobile deployment

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