Multi-scale Wavelet Transform Based Optimization of Edge Detection Algorithm for Package Design Process

In order to promote the application of computer-aided design (CAD) and virtual reality (VR) in package design, this article puts forward an edge detection algorithm for packaging images based on multi-scale wavelet transform (WT), and uses the multi-scale method of wavelet local modulus maxima to detect edges, so as to optimize the package design process. According to the design requirements of the best edge filter, the selection criteria of wavelet bases for edge detection are determined. In the process of using local maximum of wavelet modulus, aiming at the selection of local maximum, the modulus maximum is calculated along the gradient direction. The results show that the WT algorithm in this article shows high efficiency in optimizing packaging images. It can effectively control the noise of the image, enhance the definition of the image outline and improve the contrast of the image. Moreover, compared with the traditional algorithm, this algorithm has significantly improved the recall and accuracy of product packaging image feature detection. The method in this article has obvious advantages in realizing VR presentation and user experience of package design, mainly in the aspects of good image processing effect, strong interactivity and immersion, and high algorithm efficiency. © 2024 U-turn Press LLC.