• Corpus ID: 17670172

Histological Image Segmentation using Fuzzy C-Means

@inproceedings{Mandal2016HistologicalIS,
  title={Histological Image Segmentation using Fuzzy C-Means},
  author={Rupesh Mandal and Nupur Choudhury and Baishali Goswami},
  year={2016}
}
This paper deals with the automatic segmentation of Haematoxylin and Eosin(H&E)stained Histological slide image with the help of advanced soft clustering mechanism. The clustering mechanism used in this proposed framework is Fuzzy C-Means (FCM) algorithm and it is implemented on the human skin dataset. The dataset is obtained by digitally scanning the H&E stained histological slide of human skin tissue with the help of WSI (Whole Slide Image) scanner. The FCM clustering mechanism is implemented… 
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Morphological reconstruction is employed as image reconstruction at a lowered observation resolution to remove noise from images, so that space complexity of FCM algorithm is reduced, image is morphologically reconstructed, and noise present in original image is also avoided.

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