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The L-K means hierarchy clustering is proposed to decrease the long time of searching in a huge scale face database by reducing retrieving range. The database is divided into several sub sets after clustering. One-step split is used to divide the massive sub set into a few of small sets. Data redundant technology and predefined thresh are worked on a class's edge elements which will be re-signed into...
In this paper, the global structure constraint model (GSC) is used to present the target objects, and the evolutionary algorithm, particle swarm optimization (PSO) is exploited for searching the optimal status of the target in the new images. The experimental results show that this method can achieve effective results.
We present a novel object localization approach based on the global structure constraint model (GSC) and optimal algorithm. In GSC, Objects are described as constellations of points satisfied with their specific global structure constraints. The spatial relations among all the patches having stable color information and their representative color information around patches are encoded. Then, the searching...
Aiming at the color distributing feature of image, a feature extraction and image retrieval algorithm using Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) is proposed, which is based on child-block partition and area division. Firstly, divide the image into child-blocks, DWT the color value of each block, and extract the low frequency coefficients as the color feature of this...
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