Abstract
With the gradual increase in the difficulty of competitive martial arts, athletes must complete fine, stable, high-quality and difficult movements in order to achieve excellent performance. The real-time extraction of martial arts movements is a topic that many martial arts enthusiasts care about. This study mainly discusses the real-time extraction and simulation of VR image target in the difficult movement technology of martial arts routine. Considering the complex characteristics of martial arts movements, this article will analyze the preprocessing content of existing images. This includes image enhancement and image filtering, and uses median filtering methods to enhance the characteristics of the collected images. In this way, the visual effect of the original image can be improved, and the processed image will contribute to the subsequent segmentation. A new image segmentation method is proposed for the color model of the image. According to the H component of the HSV model representing the characteristics of chromaticity, the color image is transformed into the HSV model, and the H component is extracted. The histogram concept applies to H components. Based on the histogram of the H component, the segmentation threshold is determined, and the cropping target in the image is detected. Because the model space is very sensitive to color, VR technology is used to automatically determine the segmentation target. Combined with the above division methods, the automatic extraction of objects in the image is completed. The method of using VR technology for image extraction processing has high precision, and the error value is 3.92%<5%. The research results show that the method has good segmentation results, and is suitable for image segmentation under complex background and automatic image extraction under complex background.
Highlights
In the increasingly complex competitive martial arts routine competition, athletes must complete fine, stable, high-quality, high-difficulty projects, in order to obtain excellent results
According to the H component of the HSV model representing the characteristics of chromaticity, the color image is transformed into the HSV model, and the H component is extracted
Using the Random sampling matching (RANSAC) algorithm, we found the optimal matrix H of size 4 × 4
Summary
In the increasingly complex competitive martial arts routine competition, athletes must complete fine, stable, high-quality, high-difficulty projects, in order to obtain excellent results. N. Sun et al.: Martial Arts Routine Difficulty Action Technology VR Image Target Real-Time Extraction Simulation the frequency spectrum of the original vibration signal based on the center frequency of each component. In order to reduce the shadow effect, he extracts the inherent image of the road scene based on logarithmic domain projection. This study uses VR technology to extract the image, which increases the image segmentation effect, which is very beneficial to the study of martial arts routine difficulty action technology. In this way, the visual effect of the original image can be improved, and the processed image will contribute to the subsequent segmentation [11]. The use of color images is becoming more and more widespread, and color image segmentation has become a hot topic [37]
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