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Image edge detection is sensitive to noise which is contained by natural images so that it affects the quality of the image segmentation. In order to remove noise and improve edge detection accuracy, then improving the quality of image segmentation, a novel image segmentation algorithm via neighborhood the principal component analysis and Laplace operator is proposed. The feature vectors of each pixel...
The stroke is a very important feature for a character and is helpful for word recognition and handwriting identification. Although thinning algorithms can be applied for stroke extraction, they always suffer from the problems of bifurcation and disconnection. Moreover, since the end points of strokes cannot be preserved by thinning, the stroke length cannot be accurately determined and the start...
Of the many data clustering algorithms proposed in recent years, the most effective are the density-based clustering algorithms, DBSCAN and IDBSCAN. Although density-based clustering method is effective for identifying graphs, filtering out noise, and obtaining good clustering results, it is extremely time consuming. The IDBSCAN is faster than DBSCAN but is still unsatisfactory. This study therefore...
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