| CPC G06T 7/13 (2017.01) [G06T 5/73 (2024.01); G06T 2207/20076 (2013.01)] | 13 Claims |

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1. An image edge detection method, for processing an image comprising a plurality of pixels, the method comprising:
performing a convolution operation on the image by a gradient operator in a first direction and a gradient operator in a second direction, respectively, to obtain a first-direction gradient data and a second-direction gradient data, wherein the first direction is perpendicular to the second direction;
performing a gradient statistical calculation within a neighboring area of a target pixel of the image according to the first-direction gradient data and the second-direction gradient data and accordingly obtaining a gradient statistic; and
determining an edge significance (Je) corresponding to the target pixel according to the gradient statistic,
wherein the edge significance is determined according to a covariance matrix of the gradient statistic, and
wherein the edge significance of the target pixel increases as a difference between an eigenvalue in a main direction of the covariance matrix and an eigenvalue in a secondary direction of the covariance matrix gets larger according to:
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