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An Effective Method of Image Retrieval using Image Mining Techniques

机译:一种有效的图像采集技术图像检索方法

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摘要

The present research scholars are having keen interest in doing theirresearch activities in the area of Data mining all over the world. Especially,[13]Mining Image data is the one of the essential features in this presentscenario since image data plays vital role in every aspect of the system suchas business for marketing, hospital for surgery, engineering for construction,Web for publication and so on. The other area in the Image mining system is theContent-Based Image Retrieval (CBIR) which performs retrieval based on thesimilarity defined in terms of extracted features with more objectiveness. Thedrawback in CBIR is the features of the query image alone are considered.Hence, a new technique called Image retrieval based on optimum clusters isproposed for improving user interaction with image retrieval systems by fullyexploiting the similarity information. The index is created by describing theimages according to their color characteristics, with compact feature vectors,that represent typical color distributions [12].
机译:目前的研究学者对在全世界的数据挖掘领域进行研究活动有着浓厚的兴趣。尤其是,[13]挖掘图像数据是此场景中的基本功能之一,因为图像数据在系统的各个方面都起着至关重要的作用,例如营销业务,外科医院,建筑工程,Web发布等。图像挖掘系统中的另一个领域是基于内容的图像检索(CBIR),它基于具有更高客观性的,根据提取特征定义的相似度来执行检索。因此,提出了一种基于最优聚类的图像检索新技术,通过充分利用相似性信息来改善用户与图像检索系统的交互性。通过根据图像的颜色特征描述图像并使用紧凑的特征向量来创建索引,该特征向量代表典型的颜色分布[12]。

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