Multiple pornographic image classification method based on image segmentation algorithm and deep learning
A deep learning and image segmentation technology, applied in image analysis, image enhancement, image data processing, etc. Diversity is difficult to establish and improve the accuracy of the skin color model, so as to improve the precision and recall rate, reduce the misjudgment and omission rate, and improve the achievability.
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[0054] refer to figure 1 The improved image segmentation algorithm combined with deep learning multiple bad picture classification method includes four main steps: skin color recognition S1, principal component analysis of skin color area S2, deep learning S3, pornographic picture recognition based on convolutional neural network S4;
[0055] Step S1 skin color recognition:
[0056] (1) Convert the image to the YCbCr color space: Skin color detection is mainly based on the distribution characteristics of skin color in the color space to detect the skin color area in the image, because the YCbCr space can separate the brightness and chroma, and the CgCr chroma is affected by the brightness The impact of changes is less, and it is a two-dimensional independent distribution, so the skin color model is constructed in YCbCr chromaticity space;
[0057] (2) Use the expression (Cb > 77 And Cb 133 And Cr < 173) to traverse each pixel of the picture to detect whether the pixel color ...
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