The accurate measurement of wound dimensions is vital in clinical medical research. The accuracy and stability of traditional contact measurement method are poor, which may cause further injury to the wound. The non-contact measurement approach based on 2D image cannot obtain the depth information of wound. Moreover, its accuracy is also poor. Therefore, an accurate3D measurement method of wound dimensions based on image segmentation and hole inpainting was proposed. The color image and depth image of wound were aligned in pixels via image alignment algorithm. An improved region growing algorithm assisted by interactive region selection was proposed for the accurate segmentation of wound region. Finally, the wound surface was reconstructed in the point cloud image by RBF-based algorithm. The depth information of wound could be achieved from the reconstructed wound surface. So the maximum depth, volume and other three-dimensional parameters of the wound could be calculated. The experimental results show that the measurement error of our approach was less than 3%, which was more accurate and robust than the traditional contact measurement method and the measurement method based on 2D image. The accurate 3D measuring method of wound dimensions proposed by this paper meets the application requirements of clinical and medical research.