The active shape model (ASM) is a statistical parametric model, which is mainly used in image feature extraction. On the basis of the analysis of the original ASM texture model, a new texture modeling method was proposed in this paper. The improved method fully utilized the gray level information of adjacent points in the neighborhood of sampling points, improved the original face modeling method which only used the one-dimensional gray information with model matching accuracy problems. The experiments on Weizmann face database Indicate that, the improved method can obviously improve the feature point positioning accuracy, and accelerate the speed of face model fitting.

Soil and water loss monitoring is an important part of work for soil and water conservation, the monitoring and assessment of soil and water loss in large area is related to many security field. The remote GPRS network control system is used for large area soil and water loss monitoring in this paper, monitoring system is designed and implemented for soil and water loss based on dynamic priority mountains of GPRS remote network. The hardware and software of the system is realized, in the design of software, the particle swarm optimization algorithms is used to analyze some information distortion, the calculation of the loss is optimized and it is more accurate. Soil and water loss in Nanjing area with a wide range of incentives in the mountain is taken for test, the system can give the mountain soil erosion data monitoring in real-time, the monitoring area is more than 10 square kilometers with signals not break, and the accuracy is better.