Local visual attention-based color image retrieving method

Abstract

The invention discloses a local visual attention-based color image retrieving method, and in particular relates to a color image retrieving method which corresponds with visual attention of human eyes. The method comprises the following steps of: constructing a characteristic library of the image by using a characteristic extraction method; extracting characteristics from any opened image; comparing with characteristics in the characteristic library; and outputting the image with the greatest similarity so as to finish the retrieval work, wherein the method for extracting the characteristics from the characteristic library of the constructed image by using the characteristic extraction method specifically comprises the steps of extracting an important bit plane of an image, extracting an interest point and calculating a fuzzy color histogram. The specific flow comprises the following steps of: extracting the bit plane for an initial image; selecting top 5 bit planes and synthesizing to form an important bit plane image, wherein the step can reduce the attack of the noise; extracting the interest point for the important bit plane image; and finally calculating the fuzzy color histogram for the extracted interest point.

Description

technical field [0001] The color image retrieval method based on partial visual attention of the present invention belongs to the image retrieval technology of multimedia technology, and specifically relates to a color image retrieval method that can meet the visual attention of human eyes. Background technique [0002] At present, with the wide application of computer technology in all walks of life, the sources of digital images are constantly expanding, and the types and quantities of image data are also increasing day by day. Whether it is military or civilian equipment, a considerable number of digital images are produced every day, and these digital images contain a lot of useful information. How to quickly and accurately find what users need from the vast image database, how to effectively organize, manage and retrieve massive multimedia information has become an urgent problem to be solved. Image retrieval technology is one of the core technologies. [0003] Text-b...

AI Technical Summary

Problems solved by technology

[0004] In view of the problems existing in the above-mentioned prior art, the purpose of the present invention is to study and design a novel color image retrieval method based on local visual attention, so as to solve the problem of manual processing of each image in the database due to the continuous expansion of the image database scale. Labeling requires a lot of time and manpower; moreover, the content of images varies widely, and it is difficult to accurately describe the connotation of images using keywords. The process of manually selecting keywords will contain strong subjectivity, which may cause deviations in image understanding and directly affect Image retrieval effects, etc.

When performing feature description, it is no longer based on the entire image, but only describes the features of the visual focus, reducing the impact of non-focused areas during retrieval, and the traditional color histogram retrieval technology generally loses color space distribution information , the feature dimension is too high, and it is impossible to effectively retrieve noisy images, which effectively improves the accuracy of retrieval

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