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Self-optimizing edge detection in blurred, high-noise images
Self-optimizing edge detection in blurred, high-noise images
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机译:在模糊高噪声图像中进行自我优化的边缘检测
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摘要
An apparatus, program product and method detect region boundaries, or edge, of an arbitrary number of pixels in width in a digital image that has coarse resolution, high noise levels and/or significant blur. A self-optimizing kernel generator detects edges of arbitrary thickness. In addition, combining results of multi-resolution edge detection provides significant noise tolerance, such as a 10 dB improvement over conventional techniques. Moreover, the edge detection preserves the precise location of a blurred edge and quantifies image clarity.
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