The development trend of personalized customization in clothing production and sales puts forward more demands on the design of clothing patterns as well as the generation of patterns at the level of innovation and diversity. In this paper, the automatic generation method of personalized clothing samples is formed through the extraction of human body characteristic measurement parameters, the design of parametric design model representation and constraint solving methods. Meanwhile, for the pattern design and pattern generation of garments, we take fractal geometry as the entry point, and expound the specific application of fractal geometry in garment design from the two angles of graphic adjustment and craftsmanship. Based on the classic Mandlebrot fractal image, the texture features of the image are characterized by the gray scale covariance matrix, and the texture analysis model of fractal graphics is established. After obtaining the correlation of human body size features and texture characteristics, the constructed fractal graphic texture analysis model is used to design patterns and motifs, and produce a sample garment. The sample garment has three dimensions of pattern, (D2) color, and fabric to obtain the average score of user satisfaction ≧ 4 in the overall evaluation, presenting the high feasibility of this paper’s method in the design of garment pattern and pattern processing.
