Abstract
Abstract We discuss an improved edge detection method with non-uniform assembly coefficients and self-adaptive merge weights for RGB image based on morphology operators and gradient. First, we present edge detection with non-uniform assembly coefficients for grey-level image, while previous methods are with uniform assembly coefficients. And then, we discuss edge detection with non-uniform assembly coefficients and equal merge weights by means of multi-scales structure elements for RGB image. Finally, we propose an improved edge detection method with non-uniform assembly coefficients and self-adaptive merge weights for RGB image. The experimental results show that our method has improved the performance of edge detection.
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