Static gesture recognition method based on watershed transformation

Abstract

The invention discloses a static gesture recognition method based on watershed transformation, and belongs to the field of image processing. The gesture recognition method comprises the steps of gesture image collection, color space conversion, adaptive brightness adjustment, skin color threshold segmentation, watershed transformation, gray threshold combination, gesture feature extraction and template matching. The self-adaptive brightness adjustment algorithm greatly improves the accuracy of skin color-like region extraction; the problem of over-segmentation in watershed transformation is better solved through the double-Gaussian filtering kernel, and meanwhile edge information of the image is better reserved; the fourier correlation discrimination gesture instruction better utilizes the characteristics of the to-be-matched gesture, and the accuracy of gesture recognition is improved.

Description

technical field

[0001] The invention relates to the fields of image processing and human-computer interaction, in particular to a static gesture recognition method based on watershed transformation. Background technique

[0002] Gesture recognition technology, as an application model of natural human-computer interaction, recognizes the user's operation instructions through technical solutions such as sensors, radar, and video images, and its application scope is gradually entering various fields of social life. Among them, gesture interaction based on video images has better application and development prospects. For example, in the application of robot control and remote control, in some special occasions where it is inconvenient to directly control such as dangerous areas; to assist the life of the deaf-mute, and improve the quality of life of the deaf-mute through gesture communication; in the field of smart home control, it can give users Bring a better interactive exp...

Images