Adaptive edge detection algorithm for multi-focus application
This paper proposes a method of solving the problem of multi-focus through edge detection based on adaptive thresholding. Under conditions such as different light or different regions, the methods of solving the problem of multi-focus based on conventional edge detection methods will not work well because they are based on a global value of thresholding. In this paper, we will focus on processing and be applying the adaptive threshold method in determining the regions in the multi-focus problem. We will combine the clustering method as k-mean in an image to combine with the area defined by edge detection through adaptive thresholding to define the best result. The Fusion algorithm is applied to handle focused regions defined by the above method. The results and deployment environment we apply to mobile devices.
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ClusteringEdge DetectionSimilar Papers 제목 키워드 기반
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