Comparison of Image Similarity Algorithms Based on Computing Power Consumption and Sensitivity
This paper is devoted to the study of image similarity analysis algorithms in industrial scenes.Taking into account sensitivity and computing power requirements,performance is evaluated on random and gradient datasets by comparing the computation time and sensitivity of different algorithms horizontally to find the optimal algorithm that meets the experimental expectation,it isthe optimal algorithm to find unqualified products.
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