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Image Segmentation Algorithm Based on Adaptive Bandelet Transformation and HMT Model

Youwu Xu

Abstract


The adaptive Bandelet transform can take full advantage of the internal geometry of the image regular sexual characteristics, and the hidden markov tree (HMT) model can coefficient with the adaptive Bandelet transform. Through the multi-scale parameter training, the image segmentation method is based on the context of maximum and a posteriori synthetic texture image. The aerial images and SAR images are selected in order to evaluate the performance of the proposed image segmentation method. The experimental results have illustrated the effectiveness of the algorithm in image segmentation. They are shown that the proposed algorithm is not only significant improvements on the edge accuracy and regional consistency, but also reduce the misclassification of texture map probability.

Keywords


image segmentation, Bandelet transform, hidden markov tree model, SAR images.

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