An Image Retrieval Method Based on Deep Hash Learning Optimization
An image retrieval and depth technology, applied in the field of computer vision, achieves the effects of discrete orthogonal optimization, robustness, accuracy improvement, and strong semantic learning ability
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[0030] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0031] refer to figure 1 , an image retrieval method based on deep hash learning optimization, including five processes of hash function construction, objective function construction, objective function optimization, hash function training, and image retrieval and accuracy testing.
[0032] The images in this implementation case are divided into 10 categories, and each category has 60,000 images.
[0033] The image retrieval method optimized based on depth hash learning, comprises the following steps:
[0034] Step 1: Hash function construction, the hash function is obtained by a multi-layer neural network, the process is as follows:
[0035] Step 1.1: Construct a three-layer fully connected layer with the number of ne...
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