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In this paper, we present a novel automatic method for woven textile structure recognition in fiber-level. This method is based on digital image analysis techniques. It allows automatic weft yarn and warp yarn crossed-area segmentation through a spatial domain integral projection approach. Secondly, by applying unsupervised fuzzy c-means clustering on multi-scale direction invariant texture features...
What is important for an identification system is to be accurate, low cost, fast, and safe. Almost all current identification methods such as fingerprint, face, hand palm and iris recognition, are vulnerable considering plastic surgeries and some other changes in face, palm and finger print, while this is not the case for the retina. Human retina would never change during one's life and thus the uniqueness...
We present a neighbourhood vector representation as shape parameter for binary images. This method is based on the pixel neighbourhood relation. Each pixel is transformed into a vector, V = (n, e, s, w), where each element of the vector represents the total number of neighbour pixels in the respective direction, north, east, south, west. A binary object is represented by a set of neighbourhood vectors...
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