A New Content Based Image Retrieval Model Based on Wavelet Transform

• 作者: Ali Soltanshahi Davar Giveki Fatemeh Shiri Hadis Tarrah
• 来源期刊: 电脑和通信(英文)
• 学科: 工学
• 关键词: CBIR Wavelet Transform COLOR MOMENTS Image Division RGB COLOR SPACE HSV COLOR SPACE YUV COLOR SPACE YCBCR COLOR SPACE Lab COLOR SPACE
• 年，卷（期）: 2015,（3）
• 页码范围: 66-73
• 页数: 8页
• 分类号: TP39

摘要

Searching interested images based on visual properties of images is a challenging problem and it has received considerable attention from researchers in the fields like image processing, computer vision and multimedia systems in the last 20 years. While the importance and the effect of the image features like color, texture and shape have been taken into account in many papers, there have not been many studies on the importance of the color spaces on the performance of Content Based Image Retrieval (CBIR) systems. In this paper we first experimentally study the effect of choosing color space on the performance of content based image retrieval using Wavelet decomposition of each color channel. To this end, the retrieval results of different color spaces like RGB, YUV, HSV, YCbCr and Lab are analyzed. Then as a result a new Content Based Retrieval model using Wavelet Transform in Lab color space and Color Moments is proposed. In order to increase the efficiency of the proposed model some division schemes are taken into account which improves the performance of the proposed model. The proposed model tackles one of the important restrictions in content based image retrieval, namely, the challenge between the accuracy of retrieval and its time complexity. The experimental results on two databases [19] [24] demonstrate the superiority of the proposed model compared to existing models.