Gradient histogram: Thresholding in a region of interest for edge detection
Image and Vision Computing
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Generating fuzzy edge images from gradient magnitudes
Computer Vision and Image Understanding
Syntactic recognition of skeletal maturity
Pattern Recognition Letters
Pattern Recognition Letters
Artificial Vision and Soft Computing
Fundamenta Informaticae
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The effectiveness of the theory of fuzzy sets in detecting different regional boundaries of X-ray images is demonstrated. The algorithm includes a prior enhancement of the contrast among the regions (having small change in gray levels) using the contrast intensification (INT) operation along with smoothing in the fuzzy property plane before detecting its edges. The property plane is extracted from the spatial domain using S, 驴 and (1 驴) functions and the fuzzifiers. Final edge detection is achieved using max or min operator. The system performance for different parameter conditions is illustrated by application to an image of a radiograph of the wrist.