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Publikováno v:
ICIP
Conventional fuzzy C-means (FCM) algorithm does not consider spatial information in the clustering, which makes it sensitive to noise and inefficient. In order to overcome these problems, we propose a fast anti-noise FCM algorithm for image segmentat
Publikováno v:
ICIP
Extraction of thin elongated objects from natural images is an important task in many computer vision applications such as image segmentation, object detection. Extensive approaches attempt to solve this issue with region features or prior knowledge,
Publikováno v:
ICIP
Two fundamental problems in vector extremum estimation based on lexicographical ordering are investigated in this paper. The first problem is the choice of the optimal marginal components applying to lexicographical ordering. And the second is that t
Publikováno v:
ICIP
Fuzzy c-means (FCM) has been considered as an effective algorithm for image segmentation. However, it lacks of sufficient robustness to image noise. In this paper, we propose a simple and effective method to make the traditional FCM more robust to no