Title: Content Based Image Retrieval Using Color Edge Histogram in HSV Color Space
Abstract: In this paper,a content based image retrieval algorithm using color edge histogram in HSV color space is proposed. Firstly,the color edge is extracted by using Canny detection operator. Secondly,the color edge is transformed from RGB space to HSV space and quantized. Thirdly,the color edge is divided into some ring regions and angle regions,and the color histogram of each ring region and angle region are computed as image features. Finally,the similarity between color images is computed by using a combined feature index based on the color histogram of ring region and angle region. Experimental results show that the proposed image retrieval is more accurate and efficient in retrieving the user-interested images.
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 10
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot