This systematic frame makes function more thinning , and pays more attention to the connection between modules , connection between module and application programs and connection between module and underlying database . integrated the 00 specialty , the definitions of event and rule , and the methods to manage them are given . it saves the spending of the redundant information and increases the running efficiency 该系统框架将功能更加细化，同时也更加注重模块之间的联系，模块与应用程序的联系以及模块与底层数据库的联系；结合面向对象的特性，给出了事件和规则的定义方法以及对它们的管理方法，减少了冗余信息，提高了运行效率；提出了一种规则集的静态终止性分析方法。
So , image has now become the most important data type in the filed of multimedia technology , and image process and analysis technology has now become the specialty in the field of modern signal process . because of the great amount of data and information in image , it is necessary to compress the image data in order to adapt to the practical application demand . the redundancy of statistic , structure and vision in image provides the possibility to image compress 由于图像信息丰富、数据量大，因此，为满足实际应用需要，有必要对图像数据进行压缩处理，而图像数据中存在着大量的冗余信息，包括统计冗余、结构冗余以及视觉冗余等，所以为压缩提供了可能，目前已发展成为专门的研究领域? ?图像编码。
Firstly , with the application of both morphologic translation and human body feather analysis on binary graph , the human body contours are extracted by exploited moving information , producing perfect human face region segments ; secondly , in order to form an accurate border , the author presents an improved statistical color model , which has removed redundancy successfully ; finally , a high compression rate is achieved by way of combining wavelet transform and different chain codes 首先利用运动信息分割出人体轮廓，并综合运用人体的特征与形态数学的方法成功地分离出人脸大致区域；然后采用基于改进统计彩色信息模型方法，精确分割出人脸区域，去掉了不相关的冗余信息；最后提出了利用图像小波变换结合差分链码技术描述了人脸对象，并实现了高效的视频压缩。
Simulation results show that the methods we presented have better performance . 2 . data hiding in the digital image combined with hvs ( human visual system ) , we can put secret message in the image without degrading the quality for its redundancy and to secure the information 2数字图象中的信息隐藏由于数字图象中包含了大量的冗余信息，结合人的视觉特性，我们可以把一些重要的秘密信息隐藏于图象中，而不会引起图象的失真，达到了对信息进行秘密传输的目的，在很大程度上保护了秘密传输的消息。
This method can maintain the superiority of traditional wavelet transform to effectively remove temporal redundancy . in addition , owing to the feather of the integer form of wavelet lifting scheme , the computational complexity and memory requirement are reduced , which can enhance the performance of the wavelet video coding system 该方法能够保持传统小波变换的优势,高效的去除时域冗余信息,同时通过提升小波的整型变换能够快速实现的特点,降低了计算复杂度,减小了内存需求,提高了小波视频编码器的性能。
A new dynamic process model partition and distribution method is proposed in this thesis , which can delete the redundant information form distributed executing sites gradually during the process execution , and still support dynamic change of the workflow processes . the process partition algorithm is studied in detail , and the architecture of a fully distributed workflow executing system is put forward based on this algorithm 当前两种主要的工作流分布式执行方法? ?可移动代理和过程定义分割? ?不能同时解决工作流动态更改和运行时数据传输量大的问题，本文提出一种新的过程模型动态分割和动态分配方法，它可以在运行时逐步从分布式执行站点上去除冗余信息，并保证得到的部分过程模型仍能支持动态更改。
Relating to bionics , the image is transformed in order to segment and extract the region including char conveniently . considering the former methods of character exaction , we give prominence to the stroke location , run length and amount feature of character , and recognize the character based on it . the following are the major contents in the thesis 本文从仿人认知的角度着手，变换域提取图像特征达到字符区域分割目的；克服以往字符特征提取中同时将噪声、偏移等冗余信息考虑在内的缺点，以认知的角度突出最能反映字符的笔划数量、位置，游程等特征，有效的进行以认知分类为基础的字符识别。
In recent years , image fusion has become an important and useful technique for image analysis and computer vision , especially in medical domain . due to the difference between imaging mechanism of medical instrument and application environment , the medical images obtained have different details , using the complementary or redundancy information of several sources medical images , we can make the fusion image contain more abundant details and more complete information , the fused image is more complete and accurate than the single source image 近年来，图像融合已成为图像理解和计算机视觉领域中一项重要而有用的新技术，尤其是在医学领域中，由于医学仪器的成像机理及应用环境的不同，得到的医学图像具有不同的细节，利用多源医学图像的互补或冗余信息，图像融合可使获得的融合结果包含更丰富的细节及更全面的信息，比任何单一源图像都更全面、更精确。
