Skin color detection method and device

Abstract

An embodiment of the invention provides a skin color detection method and a skin color detection device. The skin color detection method comprises the steps of: reading an RGB image, and switching the RGB image from an RGB color space into a r-g color space to obtain an image to be detected; traversing and reading each pixel point in the image to be detected, and calculating a first probability density of the pixel point in a skin mixture Gaussian model and a second probability density of the pixel point in a non-skin mixture Gaussian model according to a pre-established mixture Gaussian model; calculating a posterior probability of each pixel point belonging to a skin region according to the first probability density and the second probability density of the pixel point; and attributing the pixel points to the skin region when determining that the posterior probabilities are greater than a preset posterior probability threshold value. The skin color detection method and the skin color detection device achieve efficient skin color detection under the condition of few samples.

Description

technical field [0001] Embodiments of the present invention relate to the field of computer vision, and in particular to a skin color detection method and device. Background technique [0002] In various human-related machine vision systems, skin color detection has been paid more and more attention. For example, in gesture-based human-computer interaction systems, it is necessary to first obtain the position of the hand in the image. At present, the most commonly used method is to obtain gesture information by detecting skin color. Segmenting the hand from the image, the most commonly used segmentation method is based on skin color segmentation. [0003] According to whether the process of imaging is involved, the methods of skin color detection are divided into two basic types: statistical-based methods and physical-based methods. The skin color detection method based on statistics is mainly through the establishment of a skin color statistical model for skin color detec...

AI Technical Summary

Problems solved by technology

However, it needs to collect a large number of samples for statistics to get a better segmentation effect, and the collection of samples is a time-consuming and labor-intensive task.

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