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Spatial intuitionistic fuzzy set based image segmentation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Koundal, Deepika Sharma, Bhisham Gandotra, Ekta |
| Copyright Year | 2017 |
| Abstract | Introduction Clustering is one of the unsupervised segmentation methods for the partitioning of image into different parts having some homogeneous features. Uncertain information is presented in medical images due impreciseness and fuzziness of pixels and edges [1]. However, due to the uncertainty and complexity of images, clustering is commonly used to segment the images into different clusters having similar pixel values [1-6]. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.openaccessjournals.com/articles/spatial-intuitionistic-fuzzy-set-basedimage-segmentation.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Cluster analysis Ferric Carboxymaltose Solution Fuzzy cognitive map Fuzzy set Image processing Image segmentation Indeterminacy in concurrent computation Intuitionistic logic Medical Image Medical imaging Pattern recognition Pixel Vagueness biologic segmentation statistical cluster |
| Content Type | Text |
| Resource Type | Article |
