A secure retrieval method suitable for large-scale images in cloud environment
A cloud environment, large-scale technology, applied in computer security devices, digital data information retrieval, character and pattern recognition, etc., can solve the problems of security, accuracy and efficiency can not be balanced, to improve retrieval efficiency and increase security , to achieve the effect of safe retrieval
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[0064] The present invention provides an image security retrieval method based on the bag-of-words model in a cloud environment. The specific implementation steps are as follows:
[0065] Step 1. Establish a bag-of-words model based on the image database to generate a visual dictionary and a median matrix. Specifically include the following sub-steps:
[0066] Step 1.1, local feature extraction: for each image in the image library, use the sift feature extraction algorithm to extract image features and generate feature point descriptors;
[0067] Step 1.2, build a visual dictionary: use the k-means clustering algorithm to train the feature points in the image training data set to generate k cluster centers, and each cluster center is represented as a visual word, which constitutes a k-dimensional visual dictionary W ;
[0068] Step 1.3, construct the median matrix: calculate the median value in each dimension for the image feature vectors belonging to the c(c∈[1,k])th cluste...
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