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Image segmentation through combined methods: Watershed transform, unsupervised distance learning and normalized cut
(2014-01-01)
Research on image processing has shown that combining segmentation methods may lead to a solid approach to extract semantic information from different sort of images. Within this context, the Normalized Cut (NCut) is usually ...
Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy
(2013-08-12)
This paper presents a novel segmentation method for cuboidal cell nuclei in images of prostate tissue stained with hematoxylin and eosin. The proposed method allows segmenting normal, hyperplastic and cancerous prostate ...
Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy
(2013-08-12)
This paper presents a novel segmentation method for cuboidal cell nuclei in images of prostate tissue stained with hematoxylin and eosin. The proposed method allows segmenting normal, hyperplastic and cancerous prostate ...
Image segmentation through combined methods: watershed transform, unsupervised distance learning and normalized cut
(Ieee, 2014-01-01)
Research on image processing has shown that combining segmentation methods may lead to a solid approach to extract semantic information from different sort of images. Within this context, the Normalized Cut (NCut) is usually ...
Unsupervised multi-language handwritten text line segmentation
(Journal of Intelligent & Fuzzy Systems, 2018)
Multispectral images segmentation using new fuzzy cluster centroid modified
(Institute of Electrical and Electronics Engineers Inc., 2017)
The presence of outliers, noise, corrupt pieces of data and great quantity of samples in a multispectral image, makes the segmentation analysis work tedious. The fuzzy clustering approach, specially, is susceptible to ...
Lattice Algebra Approach to Color Image Segmentation
(Journal of Mathematical Imaging and Vision, 2011)