An interactive system based on visual view transformation of arts and crafts

With the development of visual information communication technology, various interactive simulation methods for Arts and Crafts (AaC) have emerged. However, traditional methods suffer from low recognition accuracy and limited visual interaction. For improving the interactive ability of AaC, an interactive system based on visual view transformation of AaC is proposed. First, based on the scene vision-based aided design algorithm, the color segmentation is carried out on the known visual scene image. Then, morphological analysis is performed on segmented images to reduce noise and breakage and affect the obtained connected regions. Next, an assistant design algorithm based on behavior interaction is adopted to realize the combined control and simulation of the interactive design of AaC. Finally, the experiment is carried out to evaluate the algorithm used in the system. Experimental results demonstrate superior performance in CIMPACK index and recognition accuracy (0.78), with faster response times. This system enhances the intelligent interactive design capability for AaC, providing practical value for the industry.