An image RGB color space-based skin surface roughness detection method

A technology of surface roughness and detection method, which is applied in the application field of skin image processing, can solve the problems that the accuracy of detection of roughness needs to be improved, the roughness index cannot be obtained, and the detection calculation time is long, so as to achieve large market application value and good application. Prospect and market value, the effect of fast calculation

Active Publication Date: 2017-09-15
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY +1
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Problems solved by technology

This method cannot directly obtain the roughness index according to the texture feature value, and this type of method ignores the influence of pores on skin roughness, and pore features are one of the important factors affecting skin roughness
The existing skin surface state detection methods also include machine learning met

Method used

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  • An image RGB color space-based skin surface roughness detection method
  • An image RGB color space-based skin surface roughness detection method
  • An image RGB color space-based skin surface roughness detection method

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Embodiment Construction

[0055] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0056] The invention provides a skin surface roughness detection method based on the image RGB space, which performs image processing on the macro-skin digital image with the same resolution, and obtains the mean value of the absolute value of the deviation, which is used to identify the roughness of the skin image, and is also used as a skin roughness The degree index is used to measure the roughness of the skin. The roughness value detected by the method of the invention includes not only the effect of texture, but also the effect of pores on the roughness of the skin image, and the method has high detection accuracy and fast speed.

[0057] A set of skin detection system deployed and implemented by the method of the present invention will be described in detail below, and the specific implementati...

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Abstract

The invention provides a skin surface roughness detection method and belongs to the application field of skin image processing. Image processing is performed on macro-skin digital images with the same resolution ratio, and color space pixel values of the skin images are directly used to calculate a mean value of deviation absolution values, which is used as a roughness feature value of the skin images to indicate skin roughness. According to the method, color space pixel values are directly used for roughness feature value detection; image data are read and graying is performed; skin roughness can be detected only through pixel-level processing on images; a calculated roughness value not only reflects the influence of texture, but also reflects the influence of pores on the skin image roughness; with high detection accuracy and speed, the method enjoys a good application prospect and high market value.

Description

technical field [0001] The invention belongs to the application field of skin image processing, relates to skin roughness detection technology, in particular to a skin surface roughness detection method based on image RGB color space. Background technique [0002] Skin surface state detection is an important means of skin aging and anti-aging research, and it is also one of the important indicators for the objective evaluation of skin care products. With the improvement of people's living standards, the beauty and care of facial skin has received widespread attention. How to objectively and quantitatively analyze and identify skin images has become one of the research hotspots in the field of skin image processing in recent years. One of the important applications It is the detection and analysis of the roughness of the skin surface. [0003] At present, the skin surface state detection technology at home and abroad is still relatively backward. Most of the existing methods...

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Application Information

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IPC IPC(8): A61B5/00
CPCA61B5/0077A61B5/442A61B5/72
Inventor 刘迎邱显荣
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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