the reference answer GPT ᴼ ᴾ ᴱ ᴺ ᴬ ᴵ < br / > Susan feature detection algorithm is a kind of corner detection algorithm based on pixel brightness changes, it can detect the Angle point in the image features, However, the coordinates of corner points cannot be obtained directly.
The output of theSusan feature detection algorithm is a binary image, where the value of each pixel indicates whether the point is a corner feature. If the coordinate value of the corner is to be obtained, it is necessary to use other algorithms for subsequent processing after the corner feature is detected.
The common processing method ofis to use the non-maximum suppression algorithm, select the local maximum point from the output image of Susan feature detection algorithm as the candidate point of corner feature, and further screen and verify the candidate point, so as to obtain the coordinate value of corner point. The implementation method of non-maximum suppression algorithm can be selected according to specific requirements and application scenarios.
Therefore, although Susan feature detection algorithm itself cannot directly obtain the coordinate values of corner points, it is a kind of corner detection algorithm, and can be used as the pre-step of corner detection and combined with other algorithms to obtain the coordinate values of corner points.
