基于图象对象语义模型的图象对象的创建

在按内容检索的图象数据库系统中，图象特征的提取是系统的关键组件之一．文中在图象对象语义模型的基础上，提出了一种通过任务图调度的图象分析策略，并给出了一组相应的算法来进行图象分析．这种方法可以较好地运用计算机视觉的已有成果，并能在不同的应用中，支持图象分析算法的更新和重用．

INSTANTIATION OF IMAGE CLASS BASED ON IMAGE SEMANTIC DATA MODEL

In image database systems with content based retrieval, it is one of the key issues to extract features of images efficiently. The Image Semantic Data Model(ISDM) is reviewed, and a strategy for image analysis based on ISDM is presented in the paper. The main idea is to get heuristics from image classes definitions to guide features extraction. Using this method, the known techniques for image analysis are utilized whenever possible, and the extension of the feature extraction algorithm is supported to adapt various applications and improvements of computer vision techniques.