Name
Abstract | ||
|---|---|---|
In this paper, we present an image segmentation technique based on fuzzy c-means (FCM) incorporated with wavelet domain noise filtration. With the use of image noise feature estimation composed of preliminary coefficient classification and wavelet domain indicator, a filter for balancing the preservation of relevant details against the degree of noise reduction can be created. The filter is further incorporated with FCM algorithm into the membership function for clustering. This approach allows FCM not only to exploit useful spatial information, but also dynamically minimize clustering errors caused by common noise in medical images. Experimental results suggest its usefulness for reducing FCM clustering noise sensitivity. In MR image segmentation applications, the proposed method outperforms other FCM variations, in terms of quantitative performance measure and visual quality. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/NaBIC.2014.6921884 | NaBIC |
Keywords | Field | DocType |
fcm algorithm,mr image segmentation,fuzzy set theory,wavelet filtration,pattern clustering,medical images,wavelet transforms,fuzzy c-means,image segmentation,segmentation,image denoising,clustering error minimization,wavelet domain noise filtration,membership function,image classification,noise reduction,wavelet,biomedical mri,quantitative performance measure,mr image,preliminary coefficient classification,image noise feature estimation,wavelet domain indicator,fcm clustering noise sensitivity reduction,visual quality,clustering,prototypes,biomedical imaging,computed tomography,noise,integrated circuits,robustness | Noise reduction,Scale-space segmentation,Computer science,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Cluster analysis,Wavelet,Computer vision,Pattern recognition,Image noise,Membership function,Machine learning | Conference |
ISSN | Citations | PageRank |
2164-7364 | 2 | 0.39 |
References | Authors | |
11 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shang-Ling Jui | 1 | 12 | 3.95 |
| Chao Lin | 2 | 5 | 0.78 |
| Haibing Guan | 3 | 1106 | 105.35 |
| Ajith Abraham | 4 | 8954 | 729.23 |
| Aboul Ella Hassanien | 5 | 1610 | 192.72 |
| Kai Xiao | 6 | 15 | 2.96 |