Recently, a crisp robust median-of-intercept (MI) straight-line fitting algorithm was devised for use in image-processing applications. The algorithm is specifically designed for use in noisy images when the input data is corrupted with both noise and outliers. In this article we describe a fuzzy MI algorithm whose performance is significantly better than the original crisp algorithm. In addition, the new algorithm is fast; its computational complexity being only marginally greater than the original MI algorithm. © 2003 Wiley Periodicals, Inc.
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