Abstract
Based on computer digital technology, the paper first uses the method of non-equal interval quantization to quantize the pixels in the 3D image, and introduces the artificial intelligence vision technology HSV colour space to construct the feature vector formula after non-equal interval quantization to calculate the difference between the two images the final distance between. Experiments have shown that the algorithm has better robustness to changes in light intensity while maintaining the lower number of quantized bins in the Tahoun algorithm. At the same time, the algorithm can effectively reduce 3D colours, with better visual effects, and better than the original. The interference of images with large differences on the search results improves the recall rate of the image library used in the experiment.
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