ACM Computing Surveys (CSUR)
Computer Vision
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Unsupervised performance evaluation of image segmentation
EURASIP Journal on Applied Signal Processing
Image segmentation with a fuzzy clustering algorithm based on Ant-Tree
Signal Processing
Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm
Information Sciences: an International Journal
Colour image segmentation using fuzzy clustering techniques and competitive neural network
Applied Soft Computing
Tiny GAs for image processing applications
IEEE Computational Intelligence Magazine
Image segmentation using evolutionary computation
IEEE Transactions on Evolutionary Computation
On cluster validity for the fuzzy c-means model
IEEE Transactions on Fuzzy Systems
Region growing: a new approach
IEEE Transactions on Image Processing
Wavelet-based rotational invariant roughness features for texture classification and segmentation
IEEE Transactions on Image Processing
A cellular coevolutionary algorithm for image segmentation
IEEE Transactions on Image Processing
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This paper addresses the issue of image segmentation by clustering in the domain of image processing. The clustering algorithm taken account here is the Fuzzy C-Means which is widely adopted in this field. Bacterial Foraging Optimization Algorithm is an optimal algorithm inspired by the foraging behavior of E.coli. For the purpose to reinforce the global search capability of FCM, the Bacterial Foraging Algorithm was employed to optimize the objective criterion function which is interrelated to centroids in FCM. To evaluate the validation of the composite algorithm, cluster validation indexes were used to obtain numerical results and guide the possible best solution found by BF-FCM. Several experiments were conducted on three UCI data sets. For image segmentation, BF-FCM successfully segmented 8 typical grey scale images, and most of them obtained the desired effects. All the experiment results show that BF-FCM has better performance than that of standard FCM.