基于图像处理的显微外科手术质量评价研究*

目前显微外科手术质量评定仍采用测角计进行手工测量,测量中有一定的随意性,测量误差大。针对该问题,提出了应用图像处理技术对显微外科接指手术进行分析和质量评价的方法。通过与手工测量进行对比,图像处理方法评价客观,测量精度高,得到了满意的结果。     

面向搜索引擎的自然语言理解的设计与实现*

提出了一种针对智能检索的自然语言理解的实现模型。该模型通过句模分析、分词和概念扩展的方法来理解问句,在一定程度上提高理解自然语言的能力。详细介绍了其系统架构、实现思想和原理。最后通过一系列的实例来对普通搜索引擎和加载了本模型的搜索引擎进行测试。实验结果表明,提出的模型能有效地分析自然语言提问,提高信息检索的准确性和智能性。     

Audio indexing: primary components retrieval

This work addresses the soundtrack indexing of multimedia documents. Our purpose is to detect and locate sound unity to structure the audio dataflow in program broadcasts (reports). We present two audio classification tools that we have developed. The first one, a speech music classification tool, is based on three original features: entropy modulation, stationary segment duration (with a Forward–Backward Divergence algorithm) and number of segments. They are merged with the classical 4 Hz modulation energy. It is divided into two classifications (speech/non-speech and music/non-music) and provides more than 90% of accuracy for speech detection and 89% for music detection. The other system, a jingle identification tool, uses an Euclidean distance in the spectral domain to index the audio data flow. Results show that is efficient: among 132 jingles to recognize, we have detected 130. Systems are tested on TV and radio corpora (more than 10 h). They are simple, robust and can be improved on every corpus without training or adaptation.

一种新的基于多尺度似然比检验的SAR图像分割方法*

提出的图像分割新算法利用当图像分辨率改变时,不同目标斑点模式变化方式的不同以及相邻图像尺度间的Markov性,推导得出了多尺度似然比的表达式;该方法同时考虑了多尺度自回归（MAR）模型产生的残差信息和较粗尺度图像的灰度信息,增强了区分度,分割结果更精确;考虑了被分类像素的邻域特性,使其对噪声不敏感,具有稳健性。实验结果表明分割效果是显著的。     

中科院声学所知识创新工程项目基于内容分析的中文问答处理算法及系统实现*

提出了一种基于HNC自然语言理解框架下的中文问答处理算法,并在此算法基础上加以系统实现。试验证明,该系统在中等规模常识库基础上效果显著、准确率高。     

视频序列图像中运动对象分割综述*

视频分割技术作为多媒体技术应用的一个主要方面, 在视频编码、检索、多媒体交互中存在着广阔的前景, 而且在计算机视觉中也有着极为重要的应用; 但是由于视频图像内容复杂, 还没有一个通用的分割方法, 视频分割算法还面临着挑战。主要介绍视频分割中采用的一些算法, 并对各种算法和性能进行了比较和讨论。     

基于内容主题的语料库系统设计与实现*

介绍了笔者开发制作的汉语语料库系统的特点、功能,以及系统的设计思想和总体框架。系统以2001年《人民日报》电子文本为生语料,实现了KWIC索引、词表生成、词语搭配分析和分类主题词提取等功能,能够为网络信息挖掘和自然语言处理研究提供丰富而真实的语言环境。     

Motif analysis for automatic segmentation of CT surface contours into individual surface features

This paper presents a new layer-based technique for automatic high-level segmentation of 3-D surface contours into individual surface features through motif analysis. The procedure starts from a contour-based surface model representing a composite surface area of an object. For each of the surface contours, a relative turning angle (RTA) map is derived. The RTA map usually contains noise and minor features. Algorithms based on motif analysis are applied for extracting a main profile of the RTA map free from background noise and other minor features. All feature points on the extracted profile are further identified from the extracted main profile through further motif analysis. The original contour is thus partitioned into individual segments with the identified feature points. A collection of consecutive contour segments among different layers form an individual 3-D surface feature of the original composite surface. The developed approach using motif analysis is particularly useful for the identification of smooth joins between individual surface features and for the elimination of superposed noise and unwanted minor features.     

Word2000应用技巧示例

通过几个典型范例,阐述了Word2000的一些使用技巧。     

用VB、VBA增强Word97 功能

本文应用ＶＢ６．０制作的动态链接库（ｄ１１）、Ｗｏｒｄ Ｂａｓｉｃ,ＶＢＡ在Ｗｏｒｄ９７中自动形成文档,增强了Ｗｏｒｄ９７的功能。