Shape, Color and Texture Based CBIR System Using Fuzzy Logic Classifier

• 作者: B.Karthikeyan D.Yuvaraj Jihan Abdulazeez M.Sivaram
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 工学
• 关键词: Image RETRIEVAL COLOR HISTOGRAM texture edge orientation RETRIEVAL accuracy
• 年，卷（期）: 2019,（6）
• 页码范围: 729-739
• 页数: 11页
• 分类号: TP3

摘要

The perfect image retrieval and retrieval time are the two major challenges inCBIR systems. To improve the retrieval accuracy, the whole database is searched basedon many image characteristics such as color, shape, texture and edge information whichleads to more time consumption. This paper presents a new fuzzy based CBIR method,which utilizes colour, shape and texture attributes of the image. Fuzzy rule based systemis developed by combining color, shape, and texture feature for enhanced image recovery.In this approach, DWT is used to pull out the texture characteristics and the region basedmoment invariant is utilized to pull out the shape features of an image. Color similarityand texture attributes are extorted using customized Color Difference Histogram (CDH).The performance evaluation based on precision and BEP measures reveals the superiorityof the proposed method over renowned obtainable approaches.