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Extracting pathology area accurately is of great importance for robot assisted surgery system and computer aided diagnosis system. We extracted cancer area (acetowhite epithelium) in uterine cervical image based on spectral matting, which introduced the concept of fundamental matting components. Experiment results showed that for large and clear acetowhite epithelium area, almost all of details of...
This paper proposed a parallel particle filter algorithm with the help of GPU (Graphic Processing Unit) in face tracking. Due to illumination and occlusion problems, face tracking usually does not work stably based on a single cue. Three different visual cues, color histogram, edge orientation histogram and wavelet feature, are integrated under the framework of particle filter to improve the tracking...
Hailstone is one of the main meteorological disasters and it is very difficult to be forecasted effectively. A novel method of automatic recognition hail cloud is proposed base on association rules in this paper. Firstly, the method preprocesses the original reflectivity image. Then the color features and texture features are extracted from the radar echo image. Lastly, the association rules, which...
The global features of color, texture and shape are usually designated as the key index when content-based image retrieval (CBIR) is used in the medical field. Sometimes good result appears when these features are applied to color pathology or dermatosis images retrieval, however the topological relationships of the organs are generally ignored for most of the medical images. These disadvantages could...
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