Journal ArticleDOI
A Multiple-Kernel Fuzzy C-Means Algorithm for Image Segmentation
Long Chen,Chun Lung Philip Chen,Mingzhu Lu +2 more
- Vol. 41, Iss: 5, pp 1263-1274
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TLDR
The proposed MKFCM algorithm provides a new flexible vehicle to fuse different pixel information in image-segmentation problems and is shown that two successful enhanced KFCM-based image- Segmentation algorithms are special cases ofMKFCM.Abstract:
In this paper, a generalized multiple-kernel fuzzy C-means (FCM) (MKFCM) methodology is introduced as a framework for image-segmentation problems. In the framework, aside from the fact that the composite kernels are used in the kernel FCM (KFCM), a linear combination of multiple kernels is proposed and the updating rules for the linear coefficients of the composite kernel are derived as well. The proposed MKFCM algorithm provides us a new flexible vehicle to fuse different pixel information in image-segmentation problems. That is, different pixel information represented by different kernels is combined in the kernel space to produce a new kernel. It is shown that two successful enhanced KFCM-based image-segmentation algorithms are special cases of MKFCM. Several new segmentation algorithms are also derived from the proposed MKFCM framework. Simulations on the segmentation of synthetic and medical images demonstrate the flexibility and advantages of MKFCM-based approaches.read more
Citations
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Journal ArticleDOI
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
TL;DR: This paper is aimed to demonstrate a close-up view about Big Data, including Big Data applications, Big Data opportunities and challenges, as well as the state-of-the-art techniques and technologies currently adopt to deal with the Big Data problems.
Journal ArticleDOI
Big data
Ibrar Yaqoob,Ibrahim Abaker Targio Hashem,Abdullah Gani,Salimah Binti Mokhtar,Ejaz Ahmed,Nor Badrul Anuar,Athanasios V. Vasilakos +6 more
TL;DR: This paper presents a comprehensive discussion on state-of-the-art big data technologies based on batch and stream data processing based on structuralism and functionalism paradigms and strengths and weaknesses of these technologies are analyzed.
Journal ArticleDOI
Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation
TL;DR: An improved fuzzy C-means (FCM) algorithm for image segmentation is presented by introducing a tradeoff weighted fuzzy factor and a kernel metric and results show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.
Journal ArticleDOI
Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification
Shuangg Feng,C. L. Philip Chen +1 more
TL;DR: A novel neuro-fuzzy model named fuzzy broad learning system (BLS) is proposed by merging the Takagi–Sugeno (TS) fuzzy system into BLS, and the results indicate that fuzzy BLS outperforms other models involved.
Journal ArticleDOI
DPFCM: A novel distributed picture fuzzy clustering method on picture fuzzy sets
TL;DR: A novel distributed picture fuzzy clustering method on picture fuzzy sets so-called DPFCM is presented and experimental results on various datasets show that the clustering quality of DP FCM is better than those of CDFCM and relevant algorithms.
References
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