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To realize the edge detection of the weak target objects comparing with the other objects in noisy image, an improved edge detection algorithm using fuzzy enhancement is presented. The algorithm is developed through analyzing the defects of the fast multilevel fuzzy edge detection algorithm. It not only achieves optimal threshold in membership function, but also proposes the improved membership function...
An edge detection algorithm of multispectral remote sensing image based on multidimensional cloud-space was proposed. Firstly, we gain the central area of spatial object by region growing algorithm. By calculate the average gray level of central area as feature of cloud core, we propose multidimensional cloud-space mapping model. After mapping image into cloud-space by this model, the objects could...
This paper investigates a new interpolation technique based on content adaptive interpolation with fuzzy reasoning. The proposed technique reduces image artifacts in regions where moving object cannot be well traced by motion estimation. Our proposed method consists of two parts: content classification and fuzzy weight assignment process. The spatial deinterlacing methods have been studied excessively...
This paper introduces a new algorithm for remote sensing image edge detection based on fuzzy sets.Because of the complexity, the highly consistency of edges and the evidence of noise in remote sensing image, this algorithm links the mathematical morphology, the method of slipping window and fuzzy enhancing to extract the information of edges. At the beginning of the process in the proposed algorithm,...
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