Abstract
The face skin quality tester can give reasonable skin care recommendations for the replication situation, so it has a broad market prospect. The current domestic testers have shortcomings such as single detection function, low detection accuracy, complicated operation, expensive price and large volume. This paper studies the image processing algorithm for skin quality index detection, including oil and pigment detection based on HSV color space, pore detection based on dual threshold segmentation and morphological operations, and roughness index detection based on gray-level co-occurrence matrix. And based on the CBS-1800 detection system as the standard, the skin quality index detection algorithm in this paper has been effectively verified.
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