Image processing method and device, and image retrieval method and system

Abstract

The invention provides an image processing method, an image processing device, an image retrieval method and an image retrieval system. The image processing method comprises the following steps of: processing a source image into a standard image of a preset size; extracting chromaticity vector factors of all pixel points of the standard image; calculating a contrast vector factor according to thechromaticity vector factors of all the pixel points; calculating a luminance factor L according to the contrast vector factor; building novel pixel points according to the chromaticity vector factorsand the luminance factor; dividing an image consisting of the novel pixel points into blocks with a preset number; extracting characteristic points of red, green and blue (RGBL) dimension components in each block respectively; and sequencing the characteristic points of different blocks with the same type of parameter in the same row according to the size so as to acquire an image characterized by N characteristic values. By the image processing method, only a small quantity of storage space is needed to be consumed, and the method has the advantages of high calculation speed and the like. The image processing method is used for an image retrieval technology, and the image retrieval efficiency can be effectively improved.

Description

technical field [0001] The present invention relates to the technical field of image retrieval, in particular, to an image processing method and device, and an image retrieval method and system. Background technique [0002] Image retrieval is a research hotspot and difficulty in the field of information science today, and it can be divided into text-based image retrieval and content-based image retrieval. [0003] At that time, it was mainly a text-based image retrieval technology (Text-based Image Retrieval, referred to as TBIR), which used text description to describe the characteristics of images, such as the author, age, genre, and size of paintings. After the 1990s, image retrieval technology that analyzes and retrieves the content semantics of images, such as image color, texture, layout, etc., has emerged, that is, Content-based Image Retrieval (CBIR) technology. CBIR is a kind of content-based retrieval (Content-based Retrieval, referred to as CBR), and CBR also in...

AI Technical Summary

Problems solved by technology

However, as the amount of information increases, more and more images need to be manually marked, which will lead to a substantial increase in labor costs, and also violates the development trend of image retrieval by image search

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