Yang Xuan

Study of clustering validity based on fuzzy similarity

A clustering validation method based on fuzzy similarity is presented, which is characterized by its distinct concept, low computing cost, and good robustness. Finally, two experiments have been carried out with satisfactory results.

Adaptive multiscale edge detection using neighborhood entropy

This paper suggests a method for multiscale edge detection adaptively for each site in the image plane. We analyze the gray level change in the neighborhood to decide edge region and plain region. The edge width is analyzed in edge region to adjust the scale of quadratic spline wavelet. This method is proved to be effective and feasible by experiment and comparisons.

Firing particle flow detection and tracking in sequence images

A method of detecting and tracking firing particle flow in sequence images is proposed in this paper. The features of the firing particle flow in sequence images are analyzed and described using a fuzzy linguistic variable that is used to detect the moving objects. Moving trajectory tracking of firing particle flow is accomplished adaptively also. This method is feasible and satisfied with experiment results.

Firing particles detection based on adaptive fuzzy local threshold in sequence images

A method of detecting firing particles in sequence images is proposed in this paper. The features of the firing particles in sequence images are analyzed and described in fuzzy linguistic variable. Adaptive fuzzy local thresholds are determinated to detect the moving objects. Image information fusion techniques are applied to reduce noise particles also. This method is feasible and satisfied with experiment results.