Figure 4 - uploaded by Charles Davi
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The original photo, the average color of each region, and the boundaries identified by the boundary detection function.
Source publication
In this article, I'm going to present a low-degree polynomial runtime image partition algorithm that can quickly and reliably partition an image into objectively distinct regions, using only the original image as input, without any training dataset or other exogenous information. All of the code necessary to run the algorithm is available on my res...
Contexts in source publication
Context 1
... value of ∆ is optimized by the boundary detection function using the same methods that I presented in Section 2.7 of [1], though because this function uses a ratio test, the equations are slightly different than the equations presented in [1]. 12 Applying this approach to the original image of the red wall generates the boundaries in Figure 4. ...
Context 2
... value of ∆ is optimized by the boundary detection function using the same methods that I presented in Section 2.7 of [1], though because this function uses a ratio test, the equations are slightly different than the equations presented in [1]. 12 Applying this approach to the original image of the red wall generates the boundaries in Figure 4. ...
