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Euclidean distance transform is widely used in many applications of image analysis and processing. Traditional algorithms are time-consuming and difficult to realize. This paper proposes a novel fast distance transform algorithm. Firstly, mark each foreground's nearest background pixel's position in the row and column, and then use the marks scan the foreground area and figure out the first foreground...
Differential Evolution (DE) algorithm has been shown to be powerful for many real optimization problems. In traditional DE and its variant algorithms, there are three or more candidates used in the step of mutation, which is one of the three typical operation steps: mutation, crossover and selection. To simplify the mutation, we propose a novel evolution algorithm which needs only two individuals...
In this paper, We present a novel segmentation technique which is based on Grey relational analysis of Grey system theory. According to global and local inter-pixel correlation, we can extract region of interest from original images. The experimental results show that our algorithms can effectively extract the target area, and has strong anti-noise capability, this new method is simple, fast, and...
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