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Segmentation for images with intensity inhomogeneity is very difficult. In this paper, a fuzzy clustering-based method to segment intensity inhomogeneity images is presented. Firstly, a new expression of the fuzzy C-means(FCM) object function is derived through altering the prototype of every clustering to a point-wise function. Then, a weight function(More)
—In order to ensure that SAR scene matching aided navigation system can acquire the position errors and yawing errors simultaneously, we propose an image matching algorithm based on Scale Invariant Feature Transform (SIFT). However, the SIFT is proposed for optical image, and its performance degrades when used in SAR image. To enhance the adaptability of(More)
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