It is vulnerable to distance and complex terrain for the ways of traditional networking,which are not suitable to the complex geographical environment for field medical unit.In response to this deficiency,a temporary networking program based on wireless Mesh network for the field medical unit is proposed.The program takes the advantages of high-bandwidth,robustness,non-sight transmission and compatibility of the wireless Mesh network,and makes the temporary networking into realize under the field environment.At last,the performance and the potential problems of Mesh network are discussed.

The Local Binary Fitting(LBF) model based on local region information has its certain advantages in image segmentation of weak boundary or uneven greay.But,the segmentation results are very sensitive to the initial contours,and improper initial contour can directly lead to segmentation failure.Thus,a fast and stable LBF approach was proposed.First,after adding the area item with variable weights to the traditional LBF model,better initial contour could be obtained than manual one.Second,the traditional LBF model would be used for further segmentation.The experimental results show that,under the precondition of preferable results,this method can not only get promising segmentation results with flexible initial contour selection,but also faster than the traditional LBF model.

In order to deal with the problems of inaccurate data collection and low degree automation in traditional medical camp material management system,a new material management system based on RFID and bar code technology is proposed,which can realize the management of emergency supplies automatically experiments show that the new system can access the integrated platform fully and connect with the other medical treatment system and evacuation system seamlessly.Thus,the new,system may improve the medical support capabilities in some certain extent.

In intensity inhomogeneity image segmentation,the Adaptive Distance Preserving Level Set Evolution(ADPLS) algorithm can get a result with high speed,low accuracy and has no relation to initial contour,on the other hand,the Local Binary Fitting(LBF) algorithm can get a result with high accuracy,low speed and its result is sensitive to initial contour.Thus,a novel and adaptive fusing level set method is proposed to make use their advantages respectively,which can automatically adjust the proportion of ADPLS and LBF in the fusing method according to image information.Experiment results show that the comprehensive performance indicators,such as accuracy,speed and stability can be significantly improved in the fusing method.

Membership field of traditional fuzzy C means algorithm consider gray information of single pixel only,which is beneficial to retain details but weak in denoising an image.On the other hands,Gibbs random field depicts the spatial distribution of pixels,which is beneficial to smooth noise but poor at retaining image details.Thus,an improved method is proposed to take advantages over the two algorithms respectively,which can automatically determine the possible location of a pixel and adjust the proportion of the two fields according to neighborhood information of a pixel.Experiments show that the improved algorithm can adjust the weight of two fields adaptively to remove the noise while preserving more details.

The function of TacmedCS and EvacSys of US army is introduced,and the update process and the test results are reviewed.Thus,some discussions and advices are proposed to integrate the limited field information resource to avoid some non-necessary steps and blind construction in the medical and evacuation system.

Objective To design and apply a material security program based on RFID technology.Methods The program agreed on encoding format of RFID tag in advance,in which PDA could access the content of RFID tags only by connecting with the base database wirelessly.At the same time,mutual authentication mechanism was established between the PDA and the RFID tag,which prevented unauthorized tags and readers from participating in the session.Results The safe of military supplies transportation was assured after the program was applied in the implementation of mobile medical support tasks.Conclusion The program has great application value for ensuring the safety and reliability of material emergency support.

In order to overcome the shortcoming of Fuzzy C-means(FCM) that cannot deal with image noise and weaknesses of its common improved algorithms,an improved FCM algorithm using the difference of neighborhood information was proposed in this paper,which used Gaussian function to characterize the difference of space and gray value about neighborhood pixels reasonably,and to adjust the center pixel membership to achieve the purpose of noise image segmentation.The experimental results show that the proposed algorithm can effectively deal with the images with Gaussian and Pepper Salt noise,and can remove the noise while retaining more complete details of image.Its segmentation results are better than several improved FCM algorithms in the literatures.

Objective To solve the threshold parameter selection problems between over-segmentation and less-segmentation in simplified region growing pulse coupled neural network(PCNN).Methods Image information was introduced to the simplified region growing PCNN described by the concept of entropy.Results The selection of threshold parameter was avoided.Conclusion It is demonstrated that the PCNN modified algorithm based on image information is better than simplified region growing PCNN algorithm in segmentation accuracy and stability of the algorithm.

Objective To develop an information flow model about medical treatment and evacuation to improve military medical service support capability.Methods Main reasons about the difficulties of curing the mass wounded were analyzed according to the occurrence characteristics of the wounded in field condition and situation of evacuation.Results A model of information flow instead of the wounded flow was concluded.Conclusion To some extent,the model of medical treatment and evacuation based on information flow improves medical service support capability under information situation.

基于区域几何活动轮廓模型已经成为目前最流行的图像分割方法之一。本文主要介绍了自Mumford-Shah模型提出以来基于区域几何活动轮廓模型的发展演变过程,分析其中几种典型模型,并对他们的优缺点加以评述,最后指出进一步的发展方向。