In order to protect and inherit the excellent traditional culture and enhance the economic value of cultural industry, the article proposes a method of digital extraction and modern design application of traditional patterns based on digital means to adapt to the development of today’s society and the transformation of consumer demand. The article first combines the traditional pattern pattern with the characteristics of texture directionality, and proposes an adaptive weighted feature fusion traditional pattern feature extraction algorithm that introduces wavelet energy analysis. Subsequently, a traditional pattern style classification algorithm based on capsule network is proposed to improve the traditional pattern classification accuracy. Then a traditional pattern style migration method based on VGG19 network is designed, which is applied to modern design, and the performance test and subjective and objective evaluation of this paper’s method are conducted. The experimental results show that the method of this paper can realize the modern design of traditional patterns with good effect, and compared with the classical slow style migration and fast style migration methods, it has better image conversion quality and higher conversion efficiency, which can provide a certain design and development of reference value for modern pattern design.
