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MEMS gyroscope is increasingly becoming important due to its advantages such as small, inexpensive, low power and reliable. However the accuracy of MEMS gyroscope is insufficient for many attitude determination applications as the large inherent noise. So many filtering algorithms are applied into the attitude compensations for MEMS gyroscopes, which are based on the assumption that the motions of...
The image segmentation based on Markov Random Field (MRF) tries to find the maximum a posterior (MAP) global optimal solution, which describes image data relations by local correlations. Comparing with the Simulated Annealing (SA) that is used in the canonical MRF, Genetic Algorithm (GA) has been applied into the optimization computation. Currently the weights of energy function and conditional probability...
A new image segmentation algorithm based on Markov random field (MRF) with evolutionary programming (EP) is presented in this paper. As infrared (IR) image has blurry edges and fuzzy texture, the segmentation of infrared image becomes more complicated and sophisticated. MRF model is an effective way for segmenting fuzzy image, which has been used in many field of image processing. However the segmentation...
A new image segmentation algorithm based on Markov random field (MRF) and ant colony system (ACS) is presented in this paper. Information positive feedback and heuristic search, the characters of ACS, were applied for the image segmentations with MRF model. The maximum a posterior (MAP) global best solution of segmentations will be got though MRF, which describes image data relations by local correlations...
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