数据库中多媒体数据的成批处理方法

本文介绍了用VB编程实现Access数据库中多媒体数据的成批存取方法，实现了将Access中的记录（包括图像）成批插入到Word中，并以准考证为例给出了关键程序代码段。     

OLE自动化技术在管理信息系统中的应用

提出一种将管理信息系统中信息的获取延伸至被管理对象或其所在单位的管理模式，该模式能有效地提高信息获取的效率和数据的准确性，有效地减轻管理部门工作人员的工作量；采用OLE自动化技术实现数据库同编辑软件的信息交换，从而大大方便了被管理对象和管理人员；解决了信息量不确定时的报表制作问题。     

CT序列图像分割的实现及分割结果的重建

主要采用模糊边缘增强算法与B样条蛇线算法结合的方法实现CT图象中某些组织器官二维上的分割，并采用体绘制对分割后的序列图像进行三维重建。图像二维切片和三维重建的结果表明该方法的效果良好。程序作为基于Java的医学图像分析系统的子功能使用。     

Model-based detection,segmentation, and classification for image analysis using on-line shape learning

Detection, segmentation, and classification of specific objects are the key building blocks of a computer vision system for image analysis. This paper presents a unified model-based approach to these three tasks. It is based on using unsupervised learning to find a set of templates specific to the objects being outlined by the user. The templates are formed by averaging the shapes that belong to a particular cluster, and are used to guide a probabilistic search through the space of possible objects. The main difference from previously reported methods is the use of on-line learning, ideal for highly repetitive tasks. This results in faster and more accurate object detection, as system performance improves with continued use. Further, the information gained through clustering and user feedback is used to classify the objects for problems in which shape is relevant to the classification. The effectiveness of the resulting system is demonstrated in two applications: a medical diagnosis task using cytological images, and a vehicle recognition task. Received: 5 November 2000 / Accepted: 29 June 2001 Correspondence to: K.-M. Lee     

用VB自动生成Word 2000格式录取通知书

本文主要阐述了如何通过VB6．0编程利用VBA的特性，自动生成WORD2000格式的高校录取通知书和录取通知书信封并自动打印。     

Spatio-temporal shape building from image sequences using lateral interaction in accumulative computation

To be able to understand the motion of non-rigid objects, techniques in image processing and computer vision are essential for motion analysis. Lateral interaction in accumulative computation for extracting non-rigid shapes from an image sequence has recently been presented, as well as its application to segmentation from motion. In this paper, we introduce a modified version of the first multi-layer architecture. This version uses the basic parameters of the LIAC model to spatio-temporally build up to the desired extent the shapes of all moving objects present in a sequence of images. The influences of LIAC model parameters are explained in this paper, and we finally show some examples of the usefulness of the model proposed.     

Segmentation based compression for graylevel images

This paper presents a segmentation based lossy image compression (SLIC) algorithm. The segmentation scheme (Biswas and Pal, Pattern Recog. Lett. 21 (2000)), entropy based and hierarchical in nature, provides sub-images of homogeneous regions. The compression algorithm encodes a graylevel image through global approximations of sub-images by 2-d Bezier-Bernstein polynomial along with corrections, if needed, over regions in sub-images by local approximation; contours by 1-d Bezier-Bernstein polynomial and texture, if present, by Huffman coding scheme using Hilbert scan on texture blocks. Order of the 2-d polynomials has been computed with the help of an image quality index (IQI). The proposed compression algorithm also examines the compression result by encoding contours through their approximation based on stretching of discrete circular arcs. Stretching is done by affine transformation. Compression results in both the cases have been compared with JPEG results. Attempts have been made to evaluate the quality of reconstructed images through a fidelity vector whose components are different objective measures.     

基于DELPHI的WORD文档处理技术研究

总结了四种Delphi访问和控制Word的方法,简单分析了Word的对象层次模型,重点阐述了利用Delphi中Server组件操纵Word的实现方法,并就实现Delphi对Word文档直接操作进行了探讨和分析.     

顾及网络特征的复杂人工河网的自动选取

针对人工河网选取过程中需要考虑的几个重要因素,引入了线状要素动态分段模型组织人工河网数据及其空间知识。提出一种基于栅格的河网密度探测方法,较传统的计算网眼面积的方法简便且效果较好。建立了基于"知识决策"的人工河网选取模型,模型中考虑了复杂人工河网综合中河渠的属性(主要、次要)、长度、连通情况、河渠间的空间关系以及河网密度等5个方面的因素,建立多准则决策模型对每条备选河渠平等地进行综合评价,根据评价结果按照选取可能性从小到大间隔选取,从而能够较好保持人工河网的网络特征。