Intelligent Image Retrieval Using Texture and Color Features
Jui-Chi Chen, Chin-Chou Chen, Cheng‐Hung Chuang · 2019
This study proposes an effective method for content-based texture image retrieval. We focus on the analysis of texture and color features in the Lab color space to achieve effective image retrieval. Five texture features are computed in the “L” component, i.e. coarseness, contrast, busyness, complexity and strength. In addition, two color features are extracted from the “ab” components. Experiment results show that the proposed method based on texture and color features is capable of achieving more effective image retrieval.