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This paper presents a method for the detection of arbitrary triangle based on the property that the distance of the incenter to the edges of the triangle is equidistant and equal to the radius of the inscribed circle. The method is constructed by the following steps. Firstly, the orientation line of each edge point is computed from the edge-only image.(More)
In this paper, we present a fast randomized circle detection algorithm applied to determine the centers and radii of circular components. Firstly, the gradient of each pixel in the image is computed using Gaussian template. Then, the edge map of the image, obtained by applying canny edge detector, is tackled to acquire the curves consisting of 8-adjacency(More)
We present a non-HT circle detection algorithm applied to search the centers and radii of circular or partially circular components present in the image. The line coincident with the gradient vector of each edge point and passing through the corresponding edge point is defined first. Then, for every pixel in the image, the number of the lines passing(More)
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