Adaptive Unsupervised Fuzzy C Mean Based Image Segmentation
نویسندگان
چکیده
منابع مشابه
Adaptive unsupervised Fuzzy C mean based image segmentation
In this paper an optimized method for unsupervised image clustering is proposed. Generally a Novel Fuzzy C Means (FCM) or FCM based clustering algorithm are used for clustering based image segmentation but these algorithms have a disadvantage of depending upon supervised user inputs such as number of clusters. Our proposed algorithm enhances an unsupervised preliminary process known as Double C...
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image segmentation is an essential issue in image description and classification. currently, in many real applications, segmentation is still mainly manual or strongly supervised by a human expert, which makes it irreproducible and deteriorating. moreover, there are many uncertainties and vagueness in images, which crisp clustering and even type-1 fuzzy clustering could not handle. hence, type-...
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ژورنال
عنوان ژورنال: Science Journal of Circuits, Systems and Signal Processing
سال: 2014
ISSN: 2326-9065
DOI: 10.11648/j.cssp.s.2014030601.11