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Image segmentation is an important issue in computer vision. The methods based on Fuzzy C-Means (FCM) algorithms have gained success. However, these approaches deal with each pixel as a separate object, which will ignore the spatial information among these pixels. This paper proposes an approach which combines the Fuzzy C-Means algorithm and Graph Cut Theory both for gray and color image segmentation...
This paper proposes an approach which combines the Decision Theoretic Rough Set model (DTRS) and Fuzzy C-Means(FCM) algorithm to perform color image segmentation. The FCM algorithm has the limitation that it requires the initialization of cluster centroids and the number of clusters. In this paper, the DTRS model is applied to color image segmentation for the purpose of clustering validity analysis...
After introducing the past research achievements in the field of automatic selection of road network, the advantages and shortcomings of how to select the road network were underlined, then a new road selection algorithm to fetch up the shortcomings was put forward. First, the assessment criteria of the importance of road network were summarized and classified on the basis of constraints in road network...
The mechanism of Hematite furnace roasting process is complex and operating conditions change frequently which makes it difficult to get the set value of controlled variables in the furnace roasting process and makes it tough to control the controlled variable within the target range. In this paper, data mining technology is put forward to solve this issue. First, clustering method is used to deal...
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