Carving Surface Modeling of Image Based on Guassian RBF
Carving surface modeling is directly established using the RBF interpolation algorithm according to the pixels information of the image with clear texture and relatively simple structure. This method segments the image, and analyses and computes the pixel values and their position parameters for the sub-images, and those feature parameters are used for construction of the surface patches based on quadratic linear combinations of Gaussian functions. The modeling is implemented by limited smooth connection of the retrieved Gaussian surface patches with good slickness and positive definiteness. The established surface model can represent the basic structure characteristics of the original objects in the image, and satisfy the requirements of digital carving processing. Relatively low algorithm complex and strong practicability are the features of this method.
carving surface RBF image modeling model optimization
Chen Chaoyun Wu Meijie Chen Yutuo Yu Yi
School of Computer Science and Information Engineering Central South University of Forestry & Technology.Changsha, China 10004
国际会议
上海
英文
556-561
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）