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On Image Keywords for Picture Database

论图片数据库的图像关键词

基本信息

批准号：
10480077
负责人：
HAMA Hiromitsu
金额：
$ 2.24万
依托单位：
OSAKA CITY UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

项目摘要

An algorithm for image key-words in place of usual text key-words has been developed here. There are many kinds of images corresponding to human five senses. Many methods for picture compression have been proposed and standardized, for example, JPEG and so on. But the purpose has been reproduction with high-fidelity, and they don't meet directly our uses. Important thing is to be able to play a similar role to a compass or a guide.Free curves can be used to represent picture images. The best approximation by free curves, that is, the automatic extraction of control points was the first main subject. The processing step is as follows : noise reduction, edge detection, thinning, approximation of line segments by free curves after the preprocessing. Starting with initial values set appropriately, the control points are vibrated and getting near to the most suitable resolution according to the hill-climbing method. As a result, it is sufficient to memorize the control points only, and the necessary data are much less than the case of bit-map data. Furthermore the advantage is in tolerance for global transformations and local ones, such as Affine transformations and distortions, respectively. In other words, it means that we can offer line images with good quality, even if the screen is big in size, small in size or distorted somewhat.The proposed method has been applied to a person identification and classification system of the actors drawn in Ukiyoe pictures. The system is based on visual features of the face from the image database files. Line profile from the picture has been extracted in this investigation and has been approximated by Bezier curves. The effectiveness of our method has been confirmed through computer simulation. The method developed here can be expanded to one of three dimensional shape analyzing tools.

本文提出了一种用图像关键字代替文本关键字的算法。与人的五官相对应的意象有很多种。目前已经提出并标准化了许多图像压缩方法，如JPEG等，但都是以高保真再现为目的，并不能直接满足人们的实际需要。重要的是能够起到类似指南针或指南针的作用。自由曲线可以用来表示图片图像。自由曲线的最佳逼近，即控制点的自动提取是第一个主要课题。预处理后的处理步骤为：去噪、边缘检测、细化、用自由曲线逼近直线段。从适当设置的初始值开始，控制点按照爬山法进行振动，并逐渐接近最合适的分辨率。结果，仅存储控制点就足够了，并且所需的数据比位图数据的情况少得多。此外，优点在于分别对全局变换和局部变换（例如仿射变换和失真）的容限。换句话说，这意味着我们可以提供良好的质量线图像，即使屏幕是大的尺寸，小的尺寸或有点扭曲。所提出的方法已被应用到浮世绘图片中的演员的人识别和分类系统。该系统是基于从图像数据库文件的人脸的视觉特征。从图像中提取了直线轮廓，并用Bezier曲线逼近。通过计算机仿真验证了该方法的有效性。该方法可扩展为三维形状分析工具之一。