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This paper proposes a novel algorithm for simultaneous estimation of the bias field and segmentation of tissues for magnetic resonance images. The algorithm formulated by modifying the objective function in the fuzzy C-means algorithm to include a bias field which is modeled as a linear combination of a set of basis functions. Bias field estimation and image segmentation are simultaneously achieved...
Clustering algorithms are increasingly employed for the image segmentation. By incorporating the spatial information and the term used in the punishing the distance, a new robust fuzzy c-means (NRFCM) algorithm was proposed for effectively improving the quality of the image segmentation. Its main characteristics are as follows:(1) The negative influence of the noise can be effectively reduced by using...
In this paper, a fuzzy clustering algorithm using dependable neighbor pixels is proposed for image segmentation. In order to enhance the segmentation performance, the proposed algorithm utilizes the local statistical information to discriminate dependable neighbor pixels from undependable neighbor pixels, and then allows the labeling of the pixel to be influenced by the dependable neighbor pixels...
A robust image segmentation algorithm based on Alternative Fuzzy C-mean clustering algorithm (AFCM) with Markov Random Field (MRF) is presented in this paper. Due to disregard of spatial constraint information, the results using Fuzzy C-Mean (FCM) and AFCM are corrupted by noise. In order to improve the robustness of noise, the spatial constraint information of an image is represented by MRF with...
Fuzzy c-means algorithm with spatial constraints (FCM_S) is more effective for image segmentation. However, it still lacks enough robustness to noise and outliers, and costs much time in computation. To overcome the above problem, a new algorithm for image segmentation based on fast fuzzy c-means clustering is proposed in this paper. In order to reduce the number of iteration, the algorithm selects...
This paper is targeted at the design of inspection algorithms involving fast visual search for features, products, and the artefacts that accompany them. The work is based on a number of cereal grain inspection tasks that have presented important problems relating to robustness, sensitivity, accuracy and speed of operation. Techniques covered include multi-level thresholding, morphological operators,...
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