JOURNAL ARTICLE

<title>Object-region-based color image retrieval</title>

Xinghua SunJingyu YangGuo Li

Year: 2001 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 4551 Pages: 189-192   Publisher: SPIE

Abstract

In this paper one color image retrieval algorithm based on object regions is presented. First obtain each component image in the HSV space and then get the binary edge image of each component image. According to the connectedness of the edge images the object regions of the color image are extracted. During the image retrieval the sub image features corresponding to the object regions are used in the image similarity matching process in place of the global image features. Experiments show that the colorimage retrieval algorithm based on object regions is superior to that based on the global image.

Keywords:
Artificial intelligence Computer science Computer vision Binary image Image retrieval Automatic image annotation Feature detection (computer vision) HSL and HSV Image texture Color image Image gradient Object (grammar) Image (mathematics) Pattern recognition (psychology) Visual Word Image segmentation Image processing

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Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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