Image feature extraction method and device based on block chain, equipment and medium

Abstract

The invention discloses an image feature extraction method and device based on a block chain, equipment and a medium. The method comprises the steps of enabling a data provider to upload a target image to an image uploading module; converting the target image into a grayscale image through an image graying processing module, and performing homomorphic encryption on the grayscale image to obtain an encrypted image; performing feature extraction on the encrypted image through an image feature extraction module; saving the extracted features in an algorithm and feature management module of the block chain; enabling a data user to select target features in the algorithm and feature management module; determining a downloading permission according to the ring signature of the data user, and downloading the target feature through an image feature downloading module according to the downloading permission; and performing homomorphic decryption on the target feature. The image feature extraction is realized through the block chain technology, the data confidentiality can be ensured, the feature extraction efficiency is improved, and the invention can be widely applied to the technical field of image processing.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a blockchain-based image feature extraction method, device, equipment and medium. Background technique [0002] Blockchain technology has the characteristics of decentralization, openness, transparency, non-tampering, and traceability, making blockchain technology widely used in various business fields. Institutions in different business fields generally upload, share, trace, and supervise information through public chains or alliance chains. [0003] In the field of image processing and computer vision, feature extraction is an advanced stage of digital image processing and the primary task of image recognition. Image features can be widely used in machine learning, training sets of image classification algorithms, image recognition and other services. [0004] There are many types of feature extraction algorithms, and the selection and use should be analyzed ...

AI Technical Summary

Problems solved by technology

[0006] 1. For the demanders who use the same algorithm or extract similar image collections, since there is no connection between each other, each demander will perform feature extraction on the images used. In the long run, it is a kind of repetitive work , resulting in a waste of resources

[0007] 2. The packaged feature extraction algorithm provided by the centralized organization has a crisis of trust in the business with a high degree of privacy, which is not enough to guarantee the privacy of the user

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