Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2000.09a
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- Pages.375-378
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- 2000
Content-based Image Retrieval using an Improved Chain Code and Hidden Markov Model
개선된 chain code와 HMM을 이용한 내용기반 영상검색
Abstract
In this paper, we propose a novo] content-based image retrieval system using both Hidden Markov Model(HMM) and an improved chain code. The Gaussian Mixture Model(GMM) is applied to statistically model a color information of the image, and Deterministic Annealing EM(DAEM) algorithm is employed to estimate the parameters of GMM. This result is used to segment the given image. We use an improved chain code, which is invariant to rotation, translation and scale, to extract the feature vectors of the shape for each image in the database. These are stored together in the database with each HMM whose parameters (A, B,
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