基于专家系统的生物图像识别与识别

T. Fukuda, O. Hasegawa
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引用次数: 8

摘要

介绍了一种基于专家系统的图像处理的微机械臂生物自动识别方法。该方法基于生物图像分割方法(OISM),利用独立于个体大小和长度的特征片段特征。生物的复杂形状被划分为基本形状段,如直线、圆形、椭圆形等。在专家系统的数据库中自动分析和描述各段之间的关系。生物体被简单地用一组片段来表达,这样就避免了它们的个体差异。还显示了通过图像跟踪生物体的运动。实验结果证实了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creature recognition and identification by image processing based on expert system
An automatic organisms recognition and identification method for a micromanipulator system, using image processing based on an expert system, is described. The proposed method is based on the organism image segmentation method (OISM), which takes advantage of characteristic segment features that are independent of individual size and length. The complicated shapes of the organisms are divided into basic shape segments such as lines, circles, ovals, etc. The relation between segments are analyzed and described in the database of the expert system automatically. Organisms are then expressed simply by a set of segments, so that their individual differences are avoided. Tracking the movement of an organism by its image is also shown. The effectiveness of this method is confirmed by experimental results.<>
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