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내용기반 이미지 검색을 위한 회전 변형에 강인한 에지 히스토그램 알고리즘
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- Issue Date
- 2009-11
- Citation
- 대한전자공학회 종합 학술 대회 (추계) 2009, pp.373-376
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- Content-base image retrieval is popular method for searching similar and copied images. It extracts the unique features, such as color, shape and texture, from images and compares each other with the specific distance. Edge histogram descriptor which is the one of the texture-based methods uses the distribution of the edge in an image with 5 directions. Edge feature in this descriptor has strong point for many modifications but weak in rotations. In this paper, we proposed the rotation-tolerant edge histogram for personal photo album service as a image retrieval application. From the experimental results, success ratio of edge histogram descriptor in rotation modifications is highly enhanced without degradation in other modifications.
- KSP Keywords
- Content-Base Image Retrieval, Edge features, Edge histogram descriptor(EHD), Personal photo, Success ratio, Texture-based, photo album