Patent ID: 7463771

Claim:
An analysis method comprising a Phase I and a Phase II image processing, wherein the phase I processing producing a histogram of a noisy image; according to the histogram, automatically generating a fuzzy partitions represented by LR fuzzy sets and parameters of the fuzzy sets' membership functions; wherein the parameters are left spread α, mean m, and right spread β such that the fuzzy partitions are represented by LR fuzzy sets (α, m, β) LR ; with these automatically generated fuzzy sets and their membership functions, using fuzzy inference as noise filter and producing the Phase I filtered and thresholded images; the Phase II processing scaning the resultant images of Phase I by sample windows and comparing the centered pixel with surrounding pixels in a sample window of the thresholded image to determine whether the center pixel is a part of a corrupted spot; in a sample window, the non-corrupted pixels being used for filling the center pixel that is corrupted; the Phase II analysis again applying the same thresholding algorithm in Phase I to obtained the Phase II thresholded image; wherein the Phase II thresholded image is used to perform the edge detection analysis.